Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, and the description adds nothing beyond them — no mention of what the certificate is, the returned format, or required SSO/SAML configuration state. Zero added value over structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but brevity here is under-specification rather than concision; there is no front-loaded verb-resource statement beyond the identifier echo.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, an unexplained parameter, and no prose at all, the definition leaves an agent unable to predict the response (certificate body? file?) or confirm it targets the right organization.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter organization_slug has 0% schema description coverage and the description supplies no meaning for it — no format, no example, no explanation of what organization it scopes the certificate download to.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is the raw snake_case operation id repeated verbatim, which merely restates the title/name. An agent can infer 'download SAML certificate' only by parsing the identifier itself, not from any prose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this versus siblings such as ciso_assistant_api_accounts_saml_generate_keys_create or ciso_assistant_api_settings_sso_retrieve. No prerequisites, exclusions, or alternatives are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=false, idempotentHint=false, openWorldHint=true and destructiveHint=false, so the agent already knows this is a non-idempotent write. The description adds what is produced, but says nothing about whether an existing key pair is replaced or appended, whether the private key is returned in the response or stored server-side, or what permissions are required. For a non-idempotent key-generation endpoint, those omissions matter.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence that front-loads the operation and enumerates the two outputs. Nothing is wasted, though the brevity is partly due to missing content rather than tight editing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotation-level detail about return values, so the description is the only source of information about results. It omits whether the private key is returned, how it is delivered, what happens to any pre-existing key pair, and how the organization_slug scopes the operation. That leaves significant gaps for a non-idempotent generation endpoint.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and there is one required parameter, organization_slug, that the description never mentions. The caller has to infer that the key pair is generated for a specific organization and what form the slug takes. With an undocumented required parameter, the description does not compensate for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: generate a key pair consisting of a private key and a self-signed X.509 certificate. That is decidely more informative than the machine-generated title 'Api accounts saml generate keys create'. It does not explicitly contrast with the sibling ciso_assistant_api_accounts_saml_download_cert_retrieve, but the difference (generation versus download) is inferable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this: not when setting up SAML, not on whether it should be run before configuring SSO, and no warning about what happens if keys already exist. The only hint of context is the 'saml' fragment in the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is at least covered structurally. However, the description adds nothing beyond annotations — it does not say what a 'cascade preview' returns, whether it shows impacted objects counts, or what the open-world behavior means here.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single colon-terminated fragment is short but under-specified rather than concise; it reads like a truncated label rather than a front-loaded explanation. Brevity here is a liability, not a virtue.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool requiring an id and belonging to a very large family of similarly named cascade preview endpoints, the description provides essentially no context about output, scope, or usage. An agent cannot confidently invoke this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one required parameter 'id' with 0% schema description coverage, and the description provides no clarification about what the id refers to (actor id, object id, model id) or any format expectations. The description does nothing to compensate for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is the fragment 'Cascade preview:', which hints at previewing cascade effects but never states a verb+resource pairing or what is being previewed. It cannot be distinguished from the many sibling *_cascade_info_retrieve tools based on this text alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance at all on when to use this tool versus the ~200 sibling cascade_info_retrieve tools or versus the standard retrieve/object_retrieve endpoints. The agent must infer everything from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered without the description. The description adds no behavioral context beyond a vague internal reference to 'optimized data' in a serializer context, which does not tell the caller anything about the response shape or pagination. It does not contradict the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no padding, so it is technically concise, but the sentence spends its one line on framework internals rather than caller-relevant information. Brevity here comes at the cost of usefulness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, zero parameter documentation, and a five-parameter list endpoint means the description should explain pagination, filtering, and ordering. Instead it explains a Django serializer override, leaving an agent unable to call the tool correctly beyond trying the defaults.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Five parameters (limit, offset, search, ordering, max_pages) have 0% schema description coverage and the schema types are untyped anyOf stubs, so the description carries the full burden. It explains none of them — not even that limit/offset control pagination or what search/ordering accept.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is an internal implementation note ('Override the list method to inject optimized data into the serializer context') rather than a statement of what the tool does for a caller. An agent must infer from the name that this lists actors; nothing is said about the resource, the returned collection, or how it differs from actors_retrieve or actors_object_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of siblings such as ciso_assistant_api_actors_object_retrieve or ciso_assistant_api_actors_cascade_info_retrieve, and no indication of prerequisites or pagination expectations. The description gives an agent nothing to route on.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered structurally. The description adds nothing on top: no mention of what an 'actor' is, what it returns, whether permissions/tenant scoping apply, or why openWorldHint is true for what looks like a plain lookup.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity comes from under-specification rather than economy: the entire text is a bare identifier with no verb, resource description, or front-loaded purpose. Nothing earns its place because nothing informative is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read tool with full annotation coverage and no output schema, a complete definition would still need to say what entity is fetched and what the id is. None of that is provided, so the description is inadequate even at this low complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'id' has 0% schema description coverage and the description supplies no meaning for it. The agent cannot tell whether id is a UUID, an integer-like string, or some other key format, nor whether it is scoped to an organization.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is literally the tool name reproduced as prose ("api_actors_object_retrieve"), which is a tautology rather than a statement of purpose. An agent can infer 'retrieve an actor object' only by parsing the identifier, and nothing distinguishes it from the very similar siblings ciso_assistant_api_actors_retrieve, ciso_assistant_api_actors_list, and ciso_assistant_api_actors_cascade_info_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance at all about when to use this tool, when to prefer actors_list or actors_retrieve, or what the 'object' vs plain 'retrieve' distinction means. The extremely crowded sibling set makes this absence costly, since the agent has no basis for disambiguation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description does add genuine value beyond the annotations by disclosing that unauthorized related fields are masked, which is important behavioral context. However, it says nothing about not-found handling or permissions requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no wasted words, but the brevity comes at the cost of under-specification rather than genuine conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple retrieve with annotations covering safety, the description leaves the two things it uniquely must supply – which resource is returned and what the id means – unaddressed, and there is no output schema to fill that gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With a single required 'id' parameter at 0% schema description coverage, the description must carry the burden but provides nothing – not the format, type semantics, or that the id identifies the returned object. It only implies a keyed lookup via "single object".

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a generic verb ("Return a single object") but never names the resource, so the agent must rely entirely on the tool name/title to know it returns an actor. It does not distinguish itself from the many sibling retrieve variants (actors_list, actors_object_retrieve, actors_cascade_info_retrieve).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to use this retrieve versus the sibling list, object_retrieve, or cascade_info tools. No prerequisites, no context, no exclusions – the agent must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description contributes nothing beyond that – no note on caching, freshness, aggregation window, permissions, or response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single underscore-joined identifier is not a description; there is no sentence structure and nothing is front-loaded because nothing is conveyed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description bears the burden of explaining what the aggregate payload contains, and it explains nothing. An agent cannot determine what this endpoint returns or when it is the right call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to clarify and the schema is trivially complete. Baseline 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"api_agg_data_retrieve" merely restates the tool name with no verb, resource, or scope. "agg data" is undefined – an agent cannot tell what is aggregated (metrics, widgets, compliance scores) or over what domain.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no alternatives, no exclusions. In a catalogue of hundreds of retrieve siblings (agg_metrics, analytics_retrieve, get_metrics), there is no cue at all for selecting this one.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already cover read-only, idempotent, non-destructive, and open-world behavior. The description adds useful return-format context ('multi-sheet XLSX') and scope ('all analytics dashboard data'), but does not mention permissions, file delivery mechanics, or size limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single efficient sentence front-loads the action, resource, and output format with no wasted text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter export tool with safety annotations and no output schema, the description gives enough scope and format detail to call it correctly. Minor missing details are file delivery behavior and whether dashboard scope is user-specific.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline is 4; there are no parameter semantics to document or compensate for.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb (export), resource (analytics dashboard data), and output format (multi-sheet XLSX). It is clear against most siblings, though it does not further specify which dashboard scope is included.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states what the tool does but gives no explicit when-to-use guidance, prerequisites, or comparison to alternative analytics/export endpoints. The usage is only implied by the action itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare write (readOnlyHint=false), non-idempotent, non-destructive, and open-world, so the safety profile is known. The description adds nothing behavioral: not the supported action types, not whether the operation is atomic across objects, not the failure mode for partially valid inputs. For a bulk mutation endpoint this is a meaningful gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, but it is under-specified rather than concise — the brevity comes at the cost of every useful detail. It is at least front-loaded and readable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, no annotations explaining returns, and an empty input schema mean the description is the only channel for operational detail — and it supplies none. An agent would not know what a valid call looks like or what it gets back, which is inadequate for a bulk mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Parameter count is zero and schema coverage is 100%, so baseline is 3. However, the phrase 'on multiple objects' implies the caller must supply object identifiers and an action, yet the schema declares no properties and additionalProperties=false, leaving the agent with no guidance on where a payload goes. The description neither resolves that ambiguity nor describes accepted inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The sentence effectively restates the tool name: 'batch action' on 'objects' without naming the resource (answers) or what actions are actually available. With ~100 sibling *_batch_action_create tools in the list, nothing here distinguishes this endpoint from any other batch endpoint. An agent cannot tell what it does beyond the generic write-to-collection idea.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to use this instead of ciso_assistant_api_answers_update, answers_destroy, answers_partial_update, or answers_create — all of which are siblings that overlap in effect. No prerequisites, no exclusions, no mention of what a batch payload must contain to be valid.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered elsewhere. The description adds nothing about what a 'cascade preview' returns, what side effects (if any) it inspects, or whether it requires an existing object — no extra behavioral context at all. Nothing contradicts the annotations, but the description contributes no value beyond them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but shortness here comes from under-specification rather than economy; the fragment conveys no actionable information. Nothing is front-loaded because nothing substantive is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A read-only retrieve tool with one undocumented parameter, no output schema, and a dense field of near-identical cascade siblings needs at minimum the resource scope, what the preview contains, and how it differs from a plain retrieve. All three are absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter 'id' has zero schema description coverage, and the description never explains whether this is an answer id, a cascade node id, or a parent object id. With 0% coverage the description was the only place to compensate and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a two-word fragment, 'Cascade preview:', which only vaguely gestures at returning preview information about a cascade. It never states a verb, what object is being cascaded, or how it differs from the ~40 sibling *_cascade_info_retrieve tools listed, so an agent cannot distinguish this from ciso_assistant_api_journeys_cascade_info_retrieve or the campaign/asset equivalents without reading the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use statement, no prerequisite, and no mention of alternatives. The word 'preview' faintly implies a pre-flight check, but nothing tells the agent when to call this instead of ciso_assistant_api_answers_retrieve or ciso_assistant_api_answers_object_retrieve, both of which are siblings on the same resource.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=true, so the safety profile is partly covered. The description adds nothing beyond that: it doesn't disclose what the write creates, whether duplicate answers on the same question are rejected, or what permissions are required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The sentence is short and front-loaded, but its brevity is under-specification rather than efficiency. Seven words carry no actionable information, so every word is wasted as guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation endpoint with an opaque anyOf body, no output schema, and only partial annotation coverage, the definition should at minimum identify the resource shape being created. It supplies none of that, so an agent cannot construct a valid call from this description plus schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is exactly one parameter, an untyped free-form 'body' object with 0% schema description coverage, so the schema tells the agent nothing. The description does not compensate at all — it never lists the fields an Answer payload requires (question, answer text, score, etc.), leaving the request body entirely opaque.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (Answer) and the operation family (CRUD), but restates the tool name rather than stating a specific operation. It never says this tool creates a single Answer, nor how that differs from sibling answers_update, answers_partial_update, answers_batch_action_create, or answers_destroy.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: nothing about when to choose create over batch_action_create, nor any prerequisite (e.g., must the parent question/assessment exist first). With dozens of sibling answers_* endpoints, an agent gets no routing signal from 'Answer CRUD'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, readOnlyHint=false, idempotentHint=true and openWorldHint=true, so the safety profile is covered structurally. The description adds nothing on top: no statement that deletion is permanent, no cascade/relationship consequences, no permission requirements, and 'CRUD' is imprecise for an irreversible write.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, so nothing is wasteful. But it is under-specified rather than concise — there is no front-loaded statement of the destructive action, which is the one fact worth leading with.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, non-idempotent-to-the-user mutation with no output schema and zero parameter documentation, the description is wholly inadequate. It never says what is removed, whether related objects are affected, or how to recover from a mistaken call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the full burden for the single required 'id' parameter, yet it says nothing. An agent is left to guess whether the id is the Answer's primary key, a composite identifier, or whether deleting a parent answer affects child objects.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name as 'API endpoint for Answer CRUD', which describes a family of operations rather than this one. It names the resource (Answer) but never says the tool deletes something, so an agent must infer the verb from the 'destroy' suffix in the tool name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance whatsoever on when to call this versus the many answer siblings (answers_create, answers_update, answers_partial_update, answers_list, answers_retrieve, answers_batch_action_create). No preconditions, no confirmation guidance, no mention of how records are identified.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds only an internal detail about serializer context injection, which conveys no behavioral information (auth, pagination, filtering, result ordering) an agent could use, and borders on meaningless to a caller.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence, so there is no verbosity, but the content is under-specified rather than concise: the one sentence is spent on an internal implementation note instead of front-loading what the tool returns or how to call it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a paginated list endpoint with 8 undocumented parameters and no output schema, the description should explain what is listed, what the filters do, and how paging works. Instead it offers only a serializer-internals remark, leaving the definition functionally inadequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are 8 parameters (id, limit, offset, search, ordering, question, max_pages, requirement_assessment) with 0% schema description coverage, so the description carries the full burden. It says nothing about any of them, leaving filter semantics, pagination behavior, and the meaning of requirement_assessment/question completely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a developer-facing docstring ('Override the list method to inject optimized data into the serializer context') rather than a statement of what the tool does. It implies listing but never names the resource (answers) or the operation scope in terms an agent could act on, so it only weakly distinguishes this from siblings like answers_object_retrieve or answers_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: no mention of when to list answers, when to use answers_object_retrieve instead, or any preconditions. The sentence discusses an internal implementation override, which gives the agent nothing to route on.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the description's job is to add context beyond that. It adds nothing: no indication of what the response contains, whether missing IDs 404, or how this differs from the sibling retrievers.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no wasted words, which is structurally fine, but the brevity is under-specification rather than efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read tool with rich annotations and no output schema, the description still leaves the agent without the essentials: what identifies an Answer, what is returned, and how this endpoint differs from its near-identical siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required `id` parameter has 0% schema description coverage, and the description says nothing about what the ID refers to (answer UUID vs. ref_id) or its format. The description therefore fails to compensate for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"API endpoint for Answer CRUD" names the resource but describes an entire CRUD family rather than the retrieve operation this tool performs, which is essentially a restatement of the name/title. It gives no way to distinguish this from the many sibling retrievers such as ciso_assistant_api_answers_retrieve, ciso_assistant_api_answers_list, or ciso_assistant_api_answers_object_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of any alternative. An agent cannot tell from this text when to pick this tool over the plain answers_retrieve or answers_list siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the mutation profile is known without the description. The description adds nothing beyond that - no mention of partial semantics (only supplied fields change, others are preserved), no permission requirements, and no note of the openWorldHint implication. The word 'CRUD' is slightly misleading since the tool implements only the partial-update portion of CRUD.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity comes from under-specification rather than from efficient front-loading. The single fragment sentence carries no actionable information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation endpoint with an untyped body payload, no output schema, and zero parameter documentation, the description leaves the agent unable to construct a valid call. Nothing about the Answer resource shape, field semantics, or response behavior is provided.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for 2 parameters, so the description is expected to compensate and it does not. The required 'id' is unexplained, and the 'body' parameter is an opaque object with additionalProperties=true whose expected content is never hinted at, leaving the agent with no idea what fields to send.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name in generic terms: 'API endpoint for Answer CRUD.' It never says this is a partial (PATCH-style) update of a single Answer, nor does it distinguish it from the many siblings such as ciso_assistant_api_answers_update, ciso_assistant_api_answers_create, or ciso_assistant_api_answers_destroy. An agent reading only the description would not know which operation on an Answer it performs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative guidance is given. It doesn't say to use this instead of the full update endpoint or the batch action, and it names no preconditions such as the Answer needing to already exist.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower. The description does add one real behavioral fact beyond annotations — that fields related to unauthorized objects are masked in the response — but says nothing about required permissions or how masking is determined.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence with no waste, but that brevity comes at the cost of substance; the truncated phrasing ('unauthorized related fields') is terse to the point of ambiguity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and an undocumented id parameter, the description should state what resource is returned and what the object roughly contains. It only mentions masking, so an agent cannot tell what it will actually get back or confirm it is the right tool among several answers-retrieval siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single required id parameter, so the description carries the burden and explains nothing about it — not the expected format, not whether it is the answer UUID. The only thing conveyed is that lookup is by a single identifier.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says it returns a single object and, more usefully, that unauthorized related fields are masked, which tells the agent something specific about the response. However it never names the resource being retrieved (answers), leaving that entirely to the tool name, and it does not distinguish this from the sibling ciso_assistant_api_answers_object_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this versus answers_list, answers_object_retrieve, or answers_cascade_info_retrieve, and no prerequisite or ID-lookup guidance. The agent must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnly=false, idempotent=true, openWorld=true, and destructive=false, and the description adds no behavioral context such as permission requirements, patch semantics, or what happens to unspecified fields. It does not contradict the annotations, but it contributes almost nothing beyond them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short but not usefully front-loaded; it is under-specified rather than concise. It does not give the agent a concrete action, object, or constraint to act on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, 0% schema description coverage, an arbitrary body object, and many sibling Answer endpoints, the description is far too sparse to support correct invocation. It omits the update semantics, field handling, and distinction from partial_update.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage and the description does not explain the required id or the opaque body object. For a two-parameter update endpoint with an anyOf object body, the description leaves parameter meaning entirely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says only "API endpoint for Answer CRUD," which restates the generic resource area rather than stating that this specific tool updates an existing Answer. It does not distinguish update from sibling tools like answers_create, answers_partial_update, or answers_destroy.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this update endpoint, when to use partial_update instead, or what prerequisites are required. The many sibling Answer tools make the absence of routing guidance especially costly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds that the output is aggregated rather than raw rows, which is useful, but says nothing about what is aggregated, cost, or response shape. The phrase 'filtered queryset' is also unclear since the tool exposes no parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It is arguably too short for the job rather than too long, but there is no wasted text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description is the only source of information about the return value, and it never says which metrics or dimensions the aggregates contain. For an analytics endpoint surrounded by near-identical siblings, that leaves the agent unable to predict the response or choose this tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the description carries no parameter burden and the baseline of 4 applies. The only caveat is the unexplained 'filtered queryset' phrase, which could mislead an agent into looking for filter parameters that do not exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb+resource combination ('aggregated analytics over ... applied-controls'), which is more than a restatement of the title. But it does not say which aggregates it returns, and the sibling list contains a dozen other applied-controls analytics endpoints (per_status, priority_chart_data, sunburst_data, impact_graph); an agent cannot distinguish this one from them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to call this versus the many alternative analytics endpoints, and no prerequisite or context. The only guidance is an implied 'use this for analytics', which is not discriminating.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. Beyond that the description adds nothing: it does not say the response is a compact id/label option set, whether it is capped or paginated, or whether it is tenant/scope-limited. The word "Minimal" is the only behavioral hint and is undefined.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no padding, so nothing is wasted. It is well under any length concern; the issue is under-specification rather than verbosity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Zero parameters and no output schema means the description is the only place an agent could learn what comes back from an autocomplete call and how large it is. It omits return shape, filtering behavior and any size limit, which for a parameterless retrieval endpoint leaves a real gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline 4 applies; no parameter gap exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the name's own keyword (autocomplete) without naming the resource it autocompletes — applied controls appears only in the tool name. It does not distinguish this from the many sibling autocomplete endpoints (assets, policies, vulnerabilities, cwes, security_advisories). Essentially a paraphrase of the title rather than a statement of what the tool returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

"for autocomplete selects" hints at a UI-driven use case but gives no conditions for choosing it over list/retrieve siblings, no prerequisites, and no note that it is unfiltered. An agent must infer everything about when this is preferable to ciso_assistant_api_applied_controls_list or ..._retrieve.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=true, so the safety profile is partly covered. The description adds nothing on top: it does not say which batch actions exist, what permissions or payload are required, whether the operation is atomic or partial, or what happens on failure. For a mutation endpoint this is a real gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, so nothing needs trimming, but it is under-specified rather than concise. The one clause it does have is front-loaded and readable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A non-idempotent mutation tool with no output schema, an empty parameter schema, and dozens of near-identically named batch siblings demands far more than one generic sentence. The description leaves the agent unable to determine the request shape or the effect of the call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema declares zero properties with additionalProperties=false, so there is no parameter documentation at all, and the description does not compensate by explaining how objects and the action are identified. A zero-parameter schema is the nominal baseline case, but here it is clearly a defect for a batch tool, which keeps this below 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The sentence 'Perform a batch action on multiple objects' is near-boilerplate: it names no resource (the applied-controls domain is only in the tool name) and no concrete action (update, delete, duplicate, assign?). Every sibling *_batch_action_create tool in this API would carry the identical line, so an agent cannot tell this one apart from frameworks, assets, or incidents batch actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this bulk endpoint versus the per-object siblings (ciso_assistant_api_applied_controls_update, _partial_update, _destroy, _duplicate_create). 'Multiple objects' hints at bulk scope but provides no condition, prerequisite, or exclusion to guide selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so safety is covered structurally. The description contributes only the vague notion of a 'cascade preview' and says nothing about what cascade data is returned, its scope, or why one would preview before destroying.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two words and a colon is under-specification rather than conciseness; there is no front-loaded statement of purpose or behavior for a reader to anchor on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only preview tool with one opaque parameter and no output schema, the description should at minimum explain what the cascade preview returns (dependent objects, counts, deletion impact). It says none of that.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the single 'id' parameter is undocumented in both schema and description. It is inferable that this is the applied control identifier, but the description adds no semantics (format, whether it must exist, what happens if it has no cascade).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is the fragment "Cascade preview:" which largely restates the name's 'cascade_info_retrieve' rather than stating a verb and resource. An agent can infer it previews cascade effects for an applied control, but only by leaning on the tool name, not the description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No statement of when to use this versus alternatives (e.g. applied_controls_destroy, applied_controls_retrieve, or the many other applied_controls_* retrieve tools). The word "preview" faintly implies a pre-deletion check, but nothing is explicit and no sibling is named.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description says the endpoint allows applied controls to be "edited", while annotations declare readOnlyHint=true and destructiveHint=false. That is a direct contradiction about whether the call can mutate data; the description adds nothing about scope, return shape, or permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence is appropriately sized, but it is generic framework boilerplate rather than front-loaded useful information — nearly every word is spent on a vague "viewed or edited" clause instead of the resource it returns.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no parameters, the description is the only source of information about what the call yields, and it says nothing — an agent cannot know whether it returns a list of category choices, a count, or a single record. For a zero-arg retrieval endpoint, that is a substantive gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics for the description to supply; the schema is trivially complete. Baseline of 4 applies, with no compensating value added by the prose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The sentence restates the title almost verbatim ("applied controls ... viewed or edited") and never mentions the "category" dimension that distinguishes this endpoint from siblings such as ciso_assistant_api_applied_controls_retrieve, _list, or _object_retrieve. An agent cannot tell from this text that the tool is about control categories.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative is given, despite dozens of overlapping applied-controls siblings. The only guidance implied ("viewed or edited") is misleading for a read-only endpoint.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The phrase 'viewed or edited' implies a write capability while annotations declare readOnlyHint=true and destructiveHint=false, which is misleading for this specific retrieve endpoint. Nothing is disclosed about what data is returned or what 'impact' means, so the description actively confuses rather than clarifies beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, but it is boilerplate rather than front-loaded information. It is concise only because it says almost nothing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema, and read-only annotations already covering the safety profile, the description is the only channel for explaining what this resource is. It fails to do so, leaving the agent unable to tell what 'control impact' returns or how it differs from sibling impact endpoints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. No parameter-level value is possible or needed here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the endpoint name ('applied controls ... viewed or edited') without explaining what the 'control impact' resource is or what a retrieve returns. It does not distinguish this from the many sibling impact endpoints such as impact_effort_retrieve, impact_graph_retrieve, or the analogous policies_control_impact_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus any of the dozens of adjacent applied_controls retrieval/impact tools. An agent has no basis for selecting it over impact_effort_retrieve or the plain retrieve endpoint.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=true, so safety is partly covered. The description adds nothing beyond that and is actively misleading by framing a create endpoint as something that can be 'viewed', with no mention of required auth, validation errors, or what a successful creation yields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short, front-loaded sentence with no padding, so it is concisely written — but the content is boilerplate that does little work, so brevity here is a byproduct of having nothing to say.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create mutation with an unconstrained free-form body, no output schema and no annotations explaining validation, the description leaves an agent unable to construct a valid call. Nothing about required fields, side effects, or the resulting resource is communicated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single `body` parameter has 0% schema description coverage and is an untyped `anyOf` object with additionalProperties, so an agent has no idea what fields an applied control requires (name, status, category, owner, etc.). The description does not compensate in any way.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is generic Django-REST-Framework boilerplate ('allows applied controls to be viewed or edited') and never states that this endpoint creates a record, which only the tool name and title convey. Worse, 'viewed' points toward a read operation, blurring the distinction from siblings like applied_controls_list, _retrieve, _update and _partial_update.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this versus the many applied_controls siblings (list, retrieve, update, partial_update, duplicate, merge, batch_action). An agent has to infer 'create' purely from the tool name, with no stated preconditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, yet the description says the endpoint allows applied controls to be 'viewed or edited' — implying a write capability the annotations explicitly deny. It also omits that this is a zero-argument enumeration endpoint returning a fixed value list.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no padding, so it is not verbose. But it spends its only clause on boilerplate ("viewed or edited") rather than front-loading the one fact an agent needs: what values this returns.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-param, no-output-schema retrieve tool, the description must explain what the response contains (a list of CSF function labels/keys). It does not, leaving the agent unable to know it is fetching an enumeration rather than control data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes 0 parameters, so there is nothing for the description to clarify; baseline 4 applies. No missing parameter meaning can be attributed to the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The sentence restates the endpoint name in generic terms ("allows applied controls to be viewed or edited") without saying what this specific endpoint returns. Given ~40 sibling 'applied_controls_*' endpoints, the description gives no way to tell that this one returns the CSF function choice/enumeration values rather than control records.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this endpoint versus applied_controls_retrieve, applied_controls_list, applied_controls_object_retrieve, or the parallel category/effort/priority/status enumeration endpoints. Nothing tells the agent this is the source of valid CSF function values.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description says the endpoint is for viewing or editing, while annotations declare destructiveHint=true, readOnlyHint=false, and the name is 'destroy' — a direct inconsistency about whether data is removed. No mention of irreversibility, cascading effects on linked objects, or required permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence, so it is not verbose, but that sentence is a generic boilerplate line that conveys no usable information for this tool. Brevity here comes from under-specification rather than efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, open-world delete with no output schema and an undocumented id parameter, the description provides nothing an agent needs to call it safely. Annotations supply the only real signal that this operation removes data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter 'id' has 0% schema description coverage, and the description says nothing about it — not what identifier form it expects, nor whether it is the applied control's primary key. The parameter is only inferable from the name and type in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource (applied controls) but states the endpoint 'allows applied controls to be viewed or edited,' which is the wrong verb for a destroy endpoint. It does not distinguish this tool from siblings such as applied_controls_retrieve, _update, or _partial_update, so an agent reading only the description would not know this deletes a record.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. Worse, the text actively implies read/edit usage, which would steer an agent away from the actual deletion behavior rather than toward it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotation contradiction, but the description omits the only behavior that matters here: that it creates a duplicate of an existing applied control, that it is non-idempotent (repeated calls produce multiple copies), and that it is an open-world write. 'Viewed or edited' discloses nothing beyond the mutation hint already implied by readOnlyHint=false.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity is empty rather than efficient: the single sentence is boilerplate that misdirects, so nothing in it earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a non-idempotent, open-world mutation with no output schema and an undocumented parameter, the description should at minimum explain what gets duplicated and what 'id' refers to. It supplies neither, leaving an agent unable to call the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description adds nothing about the single required 'id' parameter. Critically, it does not clarify whether 'id' is the source control to be duplicated or the identifier of a new record, which is the key ambiguity for a duplicate endpoint.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says the endpoint 'allows applied controls to be viewed or edited', which is generic CRUD boilerplate and does not match the tool's actual operation (duplicate an applied control, per the name and path). An agent reading it would conclude this is a read/update tool, not a duplication action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all, and the description does not distinguish this from the many nearby siblings such as applied_controls_create, applied_controls_update, applied_controls_retrieve, or applied_controls_merge_create. The one signal available (duplication) is not mentioned, so the agent has no basis to select this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description says the endpoint 'allows applied controls to be viewed or edited', but the annotations declare readOnlyHint=true and the tool name is a retrieve. Claiming edit capability contradicts the read-only annotation and could lead an agent to believe this mutates state. The 'effort' behavior itself (presumably returning allowed effort choices) is not disclosed at all.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence with no padding, so it is concise, but it is concise boilerplate that carries no tool-specific information. Brevity here comes at the cost of substance rather than from efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema, and only annotations covering safety, the description is the sole source of what a caller would get back. It does not say whether the response is a list of effort values, a serialized applied-control object, or an aggregate, leaving a real gap for a read-only lookup tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter-level misinformation is present.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is generic DRF boilerplate: it names the resource family (applied controls) but never explains what 'effort' means in this endpoint or what it returns. It does not differentiate this tool from the many close siblings such as applied_controls_impact_effort_retrieve, applied_controls_priority_retrieve, or applied_controls_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this endpoint versus alternatives, no prerequisite or context, and no exclusion of the look-up-style siblings that return similar enum/choice data. The agent must infer everything from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, but the description claims the endpoint allows applied controls to be 'edited', implying a write path that the annotations explicitly rule out. It adds no other behavioral context such as whether export is filtered, paginated, or scoped to a folder/domain.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no padding, so it is concise. But the sentence is generic boilerplate that is not front-loaded toward the export behavior, so brevity comes at the cost of usefulness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a parameterless export endpoint with no output schema, the description should at least state that a CSV file is returned and what the export covers. Instead it says nothing about return format, content, or scope, leaving the agent to infer everything from the tool name.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. However, the description also says nothing about how the export scope is determined without parameters, which is a missed opportunity rather than a schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says the endpoint allows applied controls to be 'viewed or edited', which is generic boilerplate and omits the tool's actual purpose: producing a CSV export. The verb does not match the resource action implied by the name, so an agent cannot tell from the text that this returns a CSV file rather than a record view.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is given, and the obviously relevant alternative, ciso_assistant_api_applied_controls_export_xlsx_retrieve, is never mentioned. The agent gets no signal about which export format to pick or what scope of data is exported.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description claims the endpoint allows applied controls to be 'viewed or edited', implying a write capability, while annotations declare readOnlyHint=true and destructiveHint=false. This is an annotation contradiction. It also omits that the response is a binary XLSX file rather than a JSON representation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short, front-loaded sentence with no filler or repetition. It is concise; the problem is that it is vacuous rather than verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description is the only place an agent could learn that this returns a downloadable .xlsx export of applied controls, yet it says nothing about the return format, export scope, or contents. For a zero-schema export tool this is a significant omission.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to clarify about inputs and the baseline of 4 applies. No parameter-level value is lost.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says only that this is an 'API endpoint that allows applied controls to be viewed or edited' — it never mentions the actual operation, exporting applied controls to an XLSX file, which is only inferable from the tool name. It also fails to distinguish this from dozens of sibling applied_controls read tools (export_csv, list, retrieve, mss_xlsx).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this export rather than api_applied_controls_export_csv_retrieve, mss_xlsx_retrieve, list, or retrieve. No prerequisites, no filter/scope information, no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is known; the description adds nothing about scope, filtering, or response shape. Worse, 'viewed or edited' implies a mutation capability that a zero-parameter, readOnly-hinted endpoint cannot have.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no filler, but it is boilerplate rather than front-loaded information — it spends its only sentence on a tautology instead of the one useful fact an agent needs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, no parameters, and no annotation-independent detail, the description leaves the agent unable to predict what comes back or when to prefer it over the many near-identical siblings. For a read-only aggregate/info endpoint in a crowded namespace, far more context is required.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics to explain; schema coverage is irrelevant here and the baseline of 4 applies. The description neither helps nor hurts on this dimension.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The text is generic DRF boilerplate that could describe dozens of endpoints in this server; it never says what 'controls info' actually returns or what distinguishes it from siblings like applied_controls_retrieve, applied_controls_control_impact_retrieve, or applied_controls_cascade_info_retrieve. It restates the resource name but not the specific operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of any alternative among the very large applied_controls sibling family. An agent has no basis for choosing this over applied_controls_retrieve or the other info/detail endpoints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description states the endpoint 'allows applied controls to be viewed or edited', which directly conflicts with the readOnlyHint=true and destructiveHint=false annotations. It adds no behavioral context beyond that misleading phrase — nothing about the shape of the Gantt payload, filtering, or access requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no padding, so it is not bloated. However, its brevity comes from being boilerplate rather than from being dense with useful information — it is under-specified, not economical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no parameters, the description carries the full burden of telling the agent what comes back (Gantt/timeline data structure, grouping, date fields) and it says nothing. For a read-only analytics endpoint in a large sibling namespace, this is substantially incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the empty schema is self-explanatory and the description cannot add parameter detail. Baseline 4 applies; nothing is missing on this dimension.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is generic DRF boilerplate: it names the resource ('applied controls') but never mentions the actual function in the tool name — returning Gantt chart data. Worse, 'viewed or edited' suggests a CRUD endpoint rather than a single-purpose read, so an agent cannot tell what this returns or how it differs from the many sibling retrieve endpoints (get_timeline_info, get_controls_info, sunburst_data, etc.).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to call this versus any alternative. With dozens of sibling applied-controls analytics/retrieval endpoints, the agent gets no routing signal at all — nothing about Gantt/timeline visualization use cases or the absence of parameters.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description claims the endpoint allows applied controls to be 'viewed or edited', which contradicts readOnlyHint=true on a *_retrieve operation. Beyond that contradiction it discloses nothing about auth, response shape, or why timeline info is a separate endpoint. Flagged as an annotation contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no filler, so structurally it is tight. However, that brevity comes from being generic boilerplate rather than front-loading useful information, so the surviving sentence does not earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a parameterless retrieve operation with no output schema, the description is the only place to explain what 'timeline info' contains and when it is preferable to the sibling timeline/dashboard endpoints. It supplies none of that, leaving the agent unable to call this with intent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, so there is nothing for the description to clarify; baseline 4 applies. No misleading parameter claims are made, but also no compensation for the unexplained absence of even an ID filter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The sentence 'API endpoint that allows applied controls to be viewed or edited' restates the resource name from the title without stating what this specific endpoint does. It never mentions 'timeline info', the actual distinguishing verb of the tool, and dozens of siblings (get_gantt_data, get_controls_info, cascade_info, list, retrieve) share the same 'applied controls' subject, so an agent cannot tell them apart from this text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this instead of any other applied-controls endpoint, no prerequisites, and no mention of what problem 'timeline info' solves. An agent would have to guess between this and ciso_assistant_api_applied_controls_get_gantt_data_retrieve or timeline_entries_list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description claims the endpoint 'allows applied controls to be viewed or edited', but annotations declare readOnlyHint=true and destructiveHint=false. 'Edited' contradicts a read-only retrieve endpoint, and no real behavioral context (return shape, pagination, scope) is provided.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence, so it is concise, but the only substance in it ('viewed or edited') is misleading. Brevity does not compensate for the mismatch with the read-only annotation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no parameter schema, so the description is the only source of information about what this endpoint returns. It says nothing about the ID payload, format, or how it differs from the many other applied_controls endpoints, leaving the agent unable to use it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; no parameter claims are made or missing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource ('applied controls') but says only that it is an 'API endpoint that allows applied controls to be viewed or edited', which is generic REST boilerplate. It never states what the 'ids' variant returns (presumably identifiers) nor distinguishes it from siblings like applied_controls_retrieve, applied_controls_list, or applied_controls_object_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No indication of when to call this instead of applied_controls_list, applied_controls_retrieve, or applied_controls_object_retrieve. The agent is left to infer usage purely from the tool name suffix 'ids_retrieve'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, but the description says applied controls can be 'viewed or edited'. That directly contradicts the read-only behavior and the empty input schema, making the description behaviorally misleading.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no wasted clauses, so it is structurally concise. However, the brevity is achieved by being generic and inaccurate rather than by front-loading the specific impact-effort retrieval purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, and the description does not explain what the impact-effort retrieve endpoint returns or how it differs from sibling retrieval endpoints. Given the large number of applied-control siblings and the absent output schema, the description leaves important context missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and schema description coverage is 100%, so there are no parameter semantics for the description to explain. The baseline for zero-parameter tools applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource ('applied controls') but uses a generic verb phrase ('viewed or edited') and never mentions the specific 'impact effort' retrieve operation encoded in the tool name. It does not distinguish this endpoint from the many applied-control siblings, so an agent cannot tell what unique data it provides.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this versus siblings such as applied_controls_control_impact_retrieve, effort_retrieve, impact_graph_retrieve, or applied_controls_retrieve. Worse, saying it allows records to be 'edited' actively misleads an agent looking for a read operation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered structurally. The description instead says the endpoint allows records to be "edited", which is boilerplate inherited from a write-style endpoint and conflicts with the read-only annotation. It adds no real behavioural context such as what the graph contains or how large the payload is.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence with no padding, so it is not verbose. But the single sentence is boilerplate that conveys almost no information, so brevity does not translate into value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no explanation of what an "impact graph" returns, what node/edge shape to expect, or how it differs from other impact endpoints. For a read-only analytics endpoint with no parameters, the description should at least say what the graph represents.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema declares zero parameters at 100% coverage, so there is nothing for the description to disambiguate. No penalty is warranted on this dimension, though the description also contributes nothing here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates boilerplate ("allows applied controls to be viewed or edited") and never mentions the impact graph that the name and endpoint promise. It does not distinguish this tool from the many sibling applied_controls_* retrieve endpoints such as control_impact_retrieve or impact_effort_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this endpoint versus the dozens of neighbouring applied-controls analytics endpoints. An agent has no basis for choosing it over applied_controls_control_impact_retrieve or similar graph/chart endpoints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false. The description adds no behavioral detail beyond the basic purpose, such as permission filtering, output shape, or whether the list is static or user-scoped. With annotations present, this is a gap rather than a contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The definition is a single, front-loaded sentence with no filler. Every word contributes to identifying the returned resource and its relationship to applied controls.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, read-only lookup endpoint with full annotation coverage, the description gives the essential return content ('available model types that can be linked to applied controls'). It does not describe the response format, but no output schema exists and the operational context is simple enough that this is only a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there are no parameter semantics to explain. The baseline for zero-parameter tools is a 4, and the description correctly does not invent or misstate any parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Return') and a specific resource ('available model types that can be linked to applied controls'), which distinguishes it from sibling linked-models endpoints for policies or validation flows. It is slightly less than fully specific because 'model types' is not defined, but an agent can tell what the endpoint is for.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to, or which alternative sibling to choose. The description only states what is returned, leaving the agent to infer that it is a discovery call for linkable model types.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds only a serializer-performance note, which conveys no caller-relevant behavior such as pagination, filtering semantics, or response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the single sentence is pure implementation jargon and does not front-load the tool's actual operation. Brevity here reflects under-specification rather than efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A 45-parameter list endpoint with no output schema and no parameter documentation needs far more: the entity listed, pagination model, filter conventions, and ordering syntax. The description supplies none of it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are 45 parameters at 0% schema description coverage, and the description explains none of them — not limit/offset pagination, not the eta__gt/eta__lt filter operators, not ordering, not search. This is the largest gap in the definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names only an internal implementation detail ('override the list method to inject optimized data into the serializer context') rather than stating that it lists applied controls. An agent reading it learns nothing about the resource, scope, or what a call returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No indication of when to use this list endpoint versus the dozens of sibling applied-controls tools (autocomplete, export_csv, ids, per_status, object_retrieve). Usage can only be inferred from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already flag this as a non-read-only, non-idempotent operation, so the description's job is to say what mutation actually occurs — and it does not. It never states whether source applied controls are deleted, archived, or have their links/evidences reattached to the target, nor whether the merge is reversible. The terminal "See" hints at documentation that was never included.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is brief, but brevity here comes from truncation rather than discipline: the second sentence is a bare "See" with no referent, which is dead weight and signals an incomplete definition. The one substantive clause is front-loaded, which saves it from a 1.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation that consolidates several records into one, with an empty input schema and no output schema, an agent needs to know what input shape is expected and what happens to the merged sources. Neither is provided, and the description is visibly cut off. Inadequate for the operation's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema declares zero properties with additionalProperties=false, so there is truly nothing for the schema to document. The baseline for 0 params applies, but a merge operation with an empty schema is surprising and the description does not explain how source IDs and the target ID are supplied. A 3 reflects that it neither helps nor misleads.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Merge N source applied controls into 1 target" names a specific verb (merge) and resource (applied controls), which is enough to distinguish it from the many list/retrieve siblings. However the sentence that follows is literally just "See" — a truncated dangling reference — so the scope description ends mid-thought. It is a specific but incomplete statement of purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to merge rather than update/duplicate/destroy (e.g. ciso_assistant_api_applied_controls_duplicate_create, _update, _destroy, or the parallel _policies_merge_create). No prerequisites, no exclusion criteria, and no note that the operation consumes multiple records.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile needs no restating. The description adds the output format, but it says 'filtered' while the input schema has zero properties, so an agent cannot tell how the filter is supplied — a mild mismatch worth flagging, though not a contradiction of the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single nine-word sentence that front-loads the action and the format. Nothing is redundant and nothing can be trimmed without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter export with no output schema, the description should say that the result is a downloadable xlsx file and clarify what 'filtered' refers to given there are no filter inputs. It establishes purpose and format but leaves the return behavior and the filtering semantics unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The only gap is the unexplained 'filtered' wording, which hints at filtering behavior without any corresponding parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description pairs a specific verb (export) with a specific resource (applied controls) and a named output format (ANSSI MonServiceSécurisé xlsx). That format qualifier is what separates it from the sibling ciso_assistant_api_applied_controls_export_xlsx_retrieve, though the sibling is never named explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the format name: call this when the deliverable must be an MSS/ANSSI-format workbook rather than the generic xlsx export or the CSV export. There is no explicit when-to-use, when-not-to-use, or named alternative (export_xlsx, export_csv), so the agent must infer the routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true and destructiveHint=false, yet the description says the endpoint allows applied controls to be "viewed or edited," implying a write capability the annotations deny. Beyond that contradiction, no behavioral context (lookup semantics, 404 on missing id, returned shape) is added.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no filler, but the brevity comes from under-specification rather than efficiency – nothing useful is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a retrieve tool with no output schema, undocumented id parameter, and dozens of near-identical siblings, the description leaves the agent without the disambiguation or return-shape context it needs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter 'id' has 0% schema description coverage, and the description says nothing about what the id refers to or its format. With low coverage the description should compensate, and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the title almost verbatim ("applied controls ... viewed or edited") without stating the concrete operation. It also fails to distinguish this tool from the many sibling variants that operate on the same resource (applied_controls_retrieve, _list, _update, _partial_update, _object_retrieve), so an agent cannot tell which to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this endpoint versus the applied_controls_list, applied_controls_retrieve, or applied_controls_update siblings. The phrase "viewed or edited" is not guidance and is arguably misleading about what the tool can do.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description claims the endpoint allows controls to be 'viewed or edited', but the annotations declare readOnlyHint=true and destructiveHint=false. This is a direct contradiction. It also omits any owner-specific behavior (what owner data is returned).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short and front-loaded, but its wording is inaccurate ('edited') and it omits the key 'owner' qualifier, so it does not earn its place as a useful description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read-only retrieve in a large API, the description should at least explain that it returns owner information for applied controls. Instead it provides only a generic endpoint statement that could apply to any CRUD tool, leaving the agent unable to distinguish its purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there is nothing for the description to clarify; baseline 4 applies. No parameter-level misinformation is present.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource ('applied controls') but the verb is ambiguous ('viewed or edited') and it never mentions the 'owner' aspect that distinguishes this endpoint from siblings like applied_controls_retrieve and applied_controls_list. It reads as a generic auto-generated endpoint blurb rather than a specific retrieve operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this endpoint versus the numerous sibling tools (e.g., applied_controls_retrieve, applied_controls_list, applied_controls_object_retrieve). The mention of 'edited' actively misroutes the agent away from what is a read-only owner retrieval.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already state readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, but the description adds no meaningful behavioral context beyond vague "viewed or edited" wording. It does not explain partial-update semantics, required permissions, how the body is applied, or what happens to omitted fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only one boilerplate sentence, so it is concise, but it is under-specified rather than helpful. It front-loads generic endpoint language instead of the operation-specific information an agent needs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation endpoint with an undocumented body object and no output schema, the description is far too thin. Annotations cover some safety signals, but the description still omits the core details of what partial update does and how to call it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no information about the required id or the arbitrary body object. For a partial update tool whose body shape is entirely undocumented, this leaves parameter semantics essentially unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only says it is an API endpoint that allows applied controls to be "viewed or edited," which is generic boilerplate rather than a precise statement of partial update behavior. It does not distinguish this write operation from sibling retrieve, update, create, or destroy tools for applied controls.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this partial update versus full update, create, retrieve, or other applied-controls endpoints. The only contextual phrase, "viewed or edited," actually blurs usage rather than clarifying it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, but the description says the endpoint allows controls to be 'viewed or edited.' That is a direct contradiction: a retrieve endpoint annotated read-only is described as supporting edits. It also adds no behavioral detail beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no wasted length, so it is concise. However, that brevity comes from generic boilerplate rather than front-loading the useful per-status scoping information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter retrieve endpoint with no output schema, the description should at least explain that the response is applied controls grouped by status. Instead it gives only generic CRUD phrasing and incorrectly implies edit capability, leaving an agent unable to infer what the endpoint actually returns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there is nothing for the description to explain. Per the scoring baseline for 0 params, a 4 is appropriate; the gap is the missing per-status semantics, but that is a purpose issue rather than parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is generic DRF boilerplate: 'API endpoint that allows applied controls to be viewed or edited.' It does not state that this endpoint reports applied controls grouped by status, which is the distinguishing feature implied by the tool name and by sibling per_status endpoints. It also fails to differentiate it from ciso_assistant_api_applied_controls_status_retrieve or ciso_assistant_api_applied_controls_list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of alternatives such as the plain status_retrieve endpoint, and no condition selecting this per-status variant. The only usage hint is the vague 'viewed or edited' phrasing, which is not actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description claims the endpoint allows applied controls to be 'viewed or edited', implying mutation, while annotations declare readOnlyHint=true and destructiveHint=false for a chart-data retrieval. The annotations also already cover safety and idempotency, so the description's only contribution is a conflicting claim, with no disclosure of what the chart data contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with no filler, but it is content-free boilerplate that conveys nothing about this endpoint. Brevity here reflects under-specification rather than conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema, and no useful annotations beyond the read-only profile, the description is the only source of information about what this endpoint returns and for which entity/scope the priority chart data is computed. It supplies none of that, leaving an agent unable to judge the response shape or applicability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema declares zero parameters, so there is nothing for the description to disambiguate. The baseline of 4 applies; no parameter-related information is missing because no parameters exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is generic boilerplate ('API endpoint that allows applied controls to be viewed or edited') that never mentions the tool's actual purpose, which per its name is retrieving priority chart data for applied controls. It restates a generic CRUD endpoint rather than naming a specific verb and resource, giving an agent no way to distinguish it from dozens of sibling applied_controls_* tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus the many alternatives such as applied_controls_priority_retrieve, applied_controls_banner, or policies_priority_chart_data_retrieve. No prerequisites, no exclusions, and the tool name is the only cue available.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description says the endpoint allows applied controls to be 'viewed or edited', while annotations declare readOnlyHint=true and destructiveHint=false. That is a direct contradiction: 'edited' implies a write capability that the annotations deny. The description also adds no useful behavioral context such as what a priority retrieval returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is only one sentence, but that sentence is generic boilerplate and is partly misleading. Brevity alone does not earn a high score when the content neither specifies the operation nor distinguishes the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter retrieve endpoint, the description should at least clarify that it retrieves priority options or priority-related data for applied controls. Instead it gives a generic CRUD-style summary and contradicts the read-only annotation, leaving the agent without a clear understanding of the return or purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline of 4 applies. The description does not need to explain parameter meaning because there are none to explain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is generic endpoint boilerplate: 'API endpoint that allows applied controls to be viewed or edited.' It names the broader resource (applied controls) but omits the actual operation in the tool name, priority retrieval. It also fails to distinguish this tool from the many sibling applied-controls retrieval endpoints.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to use it, or which sibling endpoint to choose instead. The agent is left to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the safety profile (readOnly, idempotent, non-destructive). The description adds one genuinely useful behavioral fact not in the annotations: unauthorized related fields are masked in the response. It doesn't explain what counts as unauthorized, whether missing/unpermitted ids error out, or anything about response shape, so the added value is limited.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, and the masking behavior is stated up front. It is efficient, though efficiency here partly reflects under-specification rather than tight editing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a retrieve-by-id tool with no output schema and an undocumented id parameter, the description is too thin: it never states which object type is returned or that the id identifies an applied control. The masking note is the only substantive detail, leaving the agent to guess at everything else.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

One required parameter (id) with 0% schema description coverage, and the description says nothing about it — no format (UUID vs. integer string), no source for obtaining it. This is a case where the description needed to compensate for the schema gap and doesn't.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says it returns 'a single object' but never names the resource (applied controls) or states that it fetches by id — that only comes from the tool name. It also doesn't distinguish itself from close siblings like applied_controls_object_retrieve or applied_controls_list. An agent can infer the intent only by reading the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this retrieval versus the many sibling retrieve/list/object_retrieve variants for applied controls. There is no mention of prerequisites (e.g., needing a known id) or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, yet the description explicitly claims the endpoint allows applied controls to be 'edited'. That is a direct conflict with the declared read-only profile, and the description adds no other behavioral context (no return shape, no auth or scope notes).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short, front-loaded sentence with no padding, which is structurally fine. However, the sentence is pure auto-generated filler and carries no decision-relevant content, so brevity does not translate into value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no parameters, the description is the only source of information about what this call returns, and it says nothing about whether the response is a list of status values, a count, or a status breakdown. An agent cannot predict the result well enough to choose this tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters and the schema is trivially complete, so there is nothing for the description to clarify. Baseline 4 applies; the description neither helps nor harms parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the title in generic boilerplate ('API endpoint that allows applied controls to be viewed or edited') without saying what the 'status' resource actually is or returns. It does not distinguish this tool from dozens of near-identical siblings (applied_controls_retrieve, applied_controls_list, per_status_retrieve, priority_retrieve, category_retrieve), so an agent cannot tell what this endpoint uniquely provides.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no named alternative, despite an extremely crowded sibling namespace of applied-controls endpoints. The phrase 'viewed or edited' implies two different modes without specifying which one this call performs.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description claims the endpoint allows applied controls to be "edited", while the annotations declare readOnlyHint=true and destructiveHint=false on a `_retrieve`-suffixed endpoint. That is a direct contradiction that could lead an agent to attempt a write. The description also adds nothing about what sunburst data actually contains (node hierarchy, grouping dimensions, aggregation).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short, front-loaded sentence with no padding, so structurally fine. But the sentence is pure boilerplate that carries no information, so brevity buys nothing here.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no parameters, the description is the only place an agent could learn that this returns sunburst (hierarchical) chart data for applied controls – and it says nothing about that. For a zero-annotation-detail chart endpoint, this leaves the caller unable to predict the response shape.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. It neither helps nor hurts on this dimension.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says only that the endpoint "allows applied controls to be viewed or edited" – generic Django-REST boilerplate that never mentions sunburst data or the hierarchical chart payload the tool actually returns. Against dozens of sibling applied-controls endpoints (list, retrieve, analytics, per_status, priority_chart_data), it gives an agent no way to distinguish this tool's purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this endpoint versus the many alternatives (e.g. applied_controls_list, applied_controls_analytics_retrieve, applied_controls_priority_chart_data_retrieve, or the findings/policies sunburst equivalents). The only implied guidance is the word "viewed", which is far too weak to route an agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=false, idempotentHint=false, openWorldHint=true, destructiveHint=false, but the description adds nothing beyond generic CRUD wording. It does not say what the sync does to the applied control, whether it overwrites existing reference-control links, or whether it can fail for non-syncable controls — all critical for a non-idempotent mutation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence, but its brevity comes from being boilerplate rather than deliberate. It is front-loaded with irrelevant template text instead of the operation's actual effect.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a non-idempotent, open-world mutation with an undocumented required parameter and no output schema, the description supplies none of the missing information. It also fails to distinguish this tool from the several closely named sync siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description offers no meaning for the single required 'id' parameter. It is left ambiguous whether id identifies the applied control being synced, the reference control to sync to, or some sync job.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is generic Django REST boilerplate ('allows applied controls to be viewed or edited') that never mentions syncing, which is the only thing the tool name and title say it does. An agent cannot tell that this performs a sync operation to a reference control, nor how it differs from the reversed sibling reference_controls_sync_applied_controls_create.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative is stated. There is no hint that a syncable-candidates lookup (applied_controls_syncable... / syncable_applied_controls_retrieve) should be consulted first, nor any prerequisite for the required id.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, destructiveHint=false and idempotentHint=true, yet the description claims the endpoint allows applied controls to be "edited", directly contradicting the read-only annotation. It also discloses nothing about authentication, filtering, or the shape of the returned to-do list. Flagged as an Annotation Contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence, but brevity here is under-specification rather than concision: the sentence is front-loaded with a useless preamble ("API endpoint that allows...") and contains no tool-specific information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema, and no informative annotations beyond safety hints, the description is the only source of meaning an agent has, and it omits what the endpoint returns and what "todo" means. An agent cannot confidently choose this over the many sibling applied_controls retrieval endpoints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero parameters, so there is nothing for the description to expand on and the baseline is high. However, with no parameters the description carries the burden of explaining the endpoint's implicit scope (which applied controls count as "todo"), and it says nothing about it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is generic Django-REST-Framework boilerplate: "API endpoint that allows applied controls to be viewed or edited." It never mentions the defining characteristic of this endpoint (the "todo" scope) and cannot be distinguished from the dozens of sibling tools such as applied_controls_retrieve, applied_controls_list, applied_controls_to_review_retrieve, or applied_controls_update.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: no mention of what a "todo" applied control is, when an agent should call this instead of applied_controls_list or applied_controls_to_review_retrieve, and no prerequisites. The only hint ("viewed or edited") is not actionable and arguably points the agent toward the wrong sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description claims the endpoint allows applied controls to be 'viewed or edited', while annotations declare readOnlyHint=true, idempotentHint=true and destructiveHint=false. This is an auto-generated ViewSet docstring that misdescribes a read-only retrieve route as supporting edits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no padding, so it is not verbose. Its brevity is undermined only by being generic boilerplate rather than by length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description is the only source of semantics, yet it omits what 'to review' means (which statuses, which assignment criteria), whether results are paginated, and what fields come back. For a filtered-list endpoint in a large sibling set, that leaves the agent guessing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters and the schema is empty, so there is nothing for the description to clarify. Baseline 4 applies; no parameter documentation burden exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the generic resource (applied controls) but never explains the 'to review' scope that distinguishes this endpoint from applied_controls_list or applied_controls_retrieve. It is essentially boilerplate that repeats the resource name without stating what is actually returned.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this endpoint instead of the many sibling applied-controls tools (list, retrieve, todo, per_status, to_review). It does not even hint that results are scoped to controls awaiting review.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description says the endpoint allows controls to be 'edited', which conflicts with readOnlyHint=true and a zero-argument schema; the annotations carry the real safety profile. It also fails to disclose what 'updatables' means behaviorally (a filtered subset? scoped to a parent object?) or what the response looks like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no padding, front-loaded. It is concise, though the brevity comes at the cost of substance rather than from efficient wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, no annotations on what is returned, and a name implying a filtered collection — yet the description explains none of that. For a retrieval endpoint whose whole value is the 'updatables' filter, the definition is not complete enough to call correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so the schema has nothing to explain and the description is not expected to compensate. Baseline 4 applies; nothing in the text adds or detracts from parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The sentence is generic DRF boilerplate ('allows applied controls to be viewed or edited') that restates the resource but never explains the distinguishing token in the name: 'updatables'. With dozens of applied_controls siblings (list, retrieve, object_retrieve, update, partial_update), an agent has no way to tell what subset this endpoint returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of the near-identical sibling ciso_assistant_api_applied_controls_list or of ciso_assistant_api_requirement_assessments_updatables_retrieve, and no hint about the context in which 'updatable' applied controls are relevant.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the mutation profile: readOnlyHint=false, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds nothing beyond a generic 'viewed or edited' statement and does not explain the payload, required ID, or what fields can be changed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted length, so it is concise. However, the wording is vague and generic, and 'viewed or edited' does not help an agent act correctly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation endpoint with a required ID and an untyped body object, the description is far too thin. It does not explain the update semantics, accepted body contents, or expected response, so an agent cannot safely complete the call from the definition.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not mention either parameter. In particular, it gives no information about the required `id` or the arbitrary `body` object, leaving the agent unable to infer what update payload is expected.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says the endpoint lets applied controls be 'viewed or edited,' which restates the tool name and endpoint type rather than clearly stating that this tool updates an existing applied control. It does not distinguish update from sibling tools like partial_update, retrieve, or list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this update tool versus partial_update or retrieve. The phrase 'viewed or edited' implies two different operations without explaining which this endpoint performs or when an agent should select it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true, so the safety envelope is known, but the description adds nothing beyond that — it never says what an "action" does, what is mutated, whether it is reversible, or what the response contains. For a non-idempotent mutation with no output schema, this leaves the agent guessing about effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence with no filler, but it is under-specified rather than concise — the brevity comes from omitting information, not from compressing it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a non-idempotent mutation with an empty parameter schema and no output schema, an agent needs to know the available action values, how targets are identified, and what the result looks like; none of that is present. Only the annotations partially cover the safety profile.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema declares zero parameters, so there is no parameter semantics for the description to compensate for; the baseline for a zero-parameter tool applies. However, the empty schema means the description could usefully have explained how objects and the action are selected, which it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the title: "batch action" plus "on multiple objects" adds nothing about which resource (asset capabilities) or which actions (create/update/delete) are supported. The tool name is the only source of the 'asset capabilities' scope, and the description never repeats or clarifies it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this batch endpoint versus the many single-object siblings (asset_capabilities_create, _partial_update, _destroy) or other *_batch_action_create tools. An agent must infer the trigger condition from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered structurally. The description adds no behavioral context of its own — it does not say what the preview contains, whether it depends on object state, or how it relates to deletion. It does not contradict the annotations, but it contributes nothing beyond the title.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but brevity here is under-specification rather than conciseness — a two-word fragment ending in a colon with no front-loaded statement of purpose or scope.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, undocumented id, and no statement of what cascading means in this system; an agent has essentially nothing to decide when or how to call this tool beyond parsing its name.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the single required `id` parameter is documented nowhere; the description does not say whether it is an asset-capability id, an asset id, or a class id. Given the low coverage, the description needed to compensate and does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Cascade preview:" gestures at a concept (cascade/deletion impact preview) but names no verb and no resource; the asset-capabilities subject only comes from the tool name. An agent reading the description alone cannot tell what is being previewed or returned.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use statement, no precondition, and no reference to the many sibling cascade_info_retrieve tools or to the destroy/detail siblings it presumably informs. The trailing colon implies missing content rather than guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false, but the description adds no behavioral context whatsoever — not what is created, prerequisites, permissions, side effects, nor whether duplicates are rejected. For a non-idempotent write into an open-world system, the missing detail is significant.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is extremely short, but this is under-specification rather than conciseness — the one line carries no information at all and is not front-loaded with purpose or scope.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, an opaque free-form body, and annotations that only mark it as a non-idempotent write, the description leaves the agent unable to construct a valid call or predict the result. It is wholly inadequate for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single 'body' parameter is an unconstrained object with 0% schema description coverage and no required fields, so the schema gives the agent nothing about the payload shape. The description must compensate and instead offers zero information about expected body fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is the identifier 'api_asset_capabilities_create' restated verbatim, with no verb-resource phrasing, no object described, and no differentiation from siblings such as api_asset_capabilities_batch_action_create or api_asset_capabilities_partial_update. An agent can only guess that it creates an asset-capability link.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this versus the many sibling creation/batch/update tools, no prerequisites, and no mention of what a caller must supply. Nothing routes the agent between this and api_asset_capabilities_batch_action_create.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, idempotentHint=true, readOnlyHint=false and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that - no indication of what gets cascaded or orphaned when an asset capability record is deleted. It does not contradict the annotations, but it contributes zero behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that is under-specification rather than conciseness - the lone token is a restatement of the tool name and is not front-loaded with any useful information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive one-parameter operation with no output schema and 0% parameter documentation, the description should explain what is removed, whether the deletion cascades to related capabilities, and how to reference the target. It provides none of this.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required 'id' parameter has 0% schema description coverage, and the description supplies no clarification of what identifier is expected (record ID, UUID, name). With the schema carrying no documentation and the description silent, an agent cannot confidently populate it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is literally the snake_case tool name restated: 'api_asset_capabilities_destroy'. It adds no verb-plus-resource phrasing beyond what the identifier already implies, so an agent learns nothing it could not infer from the name, and nothing distinguishes it from sibling destroy tools such as api_asset_class_destroy.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance whatsoever about when to use this deletion endpoint versus the many sibling destroy tools, nor any prerequisites, side effects, or conditions. The agent must infer everything from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered by structured data; the description adds no behavioral context such as pagination behavior, default page size, or what 'optimized data' actually means to a consumer. The single claim it makes (serializer context optimization) is a server-implementation detail with no observable meaning for an agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence, but that brevity comes from under-specification rather than from saying something useful. The one sentence it does contain is about internal method overriding, so nothing is front-loaded that helps the caller.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a paginated list endpoint with five undocumented parameters and no output schema, the description provides none of the information an agent needs to invoke it correctly — no resource identity, no paging contract, no search/ordering syntax.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for five parameters (limit, offset, search, ordering, max_pages), and the description supplies nothing — no filtering, paging, or ordering semantics. With low coverage, the description is required to compensate and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The text 'Override the list method to inject optimized data into the serializer context' is an internal code comment; it only implies that something is listed and never names the resource (asset capabilities) that the agent would retrieve. It essentially restates the tool's operational intent without stating what the tool does for a caller.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all, no mention of sibling tools, and no conditions or prerequisites. An agent cannot tell from this text whether to call this list endpoint or any of the many other asset_capabilities tools (retrieve, object_retrieve, cascade_info, batch_action).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds nothing beyond that — no note on permissions, lookup failure behavior for a bad id, or what the returned capabilities object contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that is under-specification rather than conciseness — a bare identifier copy with no sentence structure, no front-loaded purpose, and no information an agent could act on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description would need to convey what a 'capabilities object' returns, but it does not. Combined with an undocumented required id and a crowded sibling namespace, the definition leaves an agent unable to confidently select or invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter 'id' has 0% schema description coverage, so the schema gives no indication of whether it is a numeric PK, a UUID, or a ref_id. The description does not compensate at all, leaving the only parameter's format and semantics undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a verbatim restatement of the tool name 'api_asset_capabilities_object_retrieve', which is a tautology rather than an explanation. An agent can infer only that something called an 'asset capabilities object' is retrieved, with no plain-language statement of what the resource actually is or how it differs from siblings like ciso_assistant_api_asset_capabilities_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, no prerequisites, and no mention of the near-identical siblings (asset_capabilities_retrieve, asset_capabilities_list, asset_capabilities_cascade_info_retrieve). The agent must guess which of the many asset-capabilities endpoints is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, idempotentHint=false, and openWorldHint=true, but the description adds nothing about what a partial update does, which fields are mutable, whether omitted fields are preserved, or what permissions are required. It contributes zero behavioral context beyond the structured hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is only a few tokens, but that brevity comes from under-specification rather than efficiency. There is no front-loaded purpose statement to structure around.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A mutation endpoint with an entirely opaque request body, no output schema, and no annotations explaining payload semantics requires far more description than a repeated identifier. Nothing an agent needs in order to call it correctly is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description provides no parameter information, leaving the critical 'body' parameter as an unconstrained anyOf object with no explanation of expected keys. With two undocumented parameters and no compensating prose, this is the worst case.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is the literal tool identifier repeated verbatim ('api_asset_capabilities_partial_update'), with no verb or resource stated in prose. This is tautology, the definition of a 1 on this dimension, and it does not distinguish the tool from siblings such as api_asset_capabilities_update or api_asset_capabilities_retrieve.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance at all on when to use this tool versus the sibling full-update, create, or retrieve endpoints. The agent must infer everything from the name suffix.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered structurally. The one genuinely additive piece is the disclosure that unauthorized related fields are masked in the response, which is useful permission-aware behavior, but nothing is said about required permissions, missing-ID behavior, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is one short sentence with no filler, but it is not front-loaded with the resource being fetched; the generic 'Return a single object' leads instead of the actual subject.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description must carry the return-shape burden; it mentions masking but not what fields the asset-capability object contains, nor the identifier format. For a lookup tool in a very large sibling set, this leaves real gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required 'id' parameter has 0% schema description coverage, so the description is the only place its meaning could be explained — yet it says nothing about what kind of identifier is expected (numeric PK, UUID, ref) or where to obtain it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says it returns a single object, which is close to a restatement of the name's 'retrieve'. It never names the resource (asset capability) nor distinguishes itself from the many sibling retrievers such as asset_capabilities_object_retrieve or asset_capabilities_list, so the agent must infer scope from the tool name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus the list, object_retrieve, cascade_info, or batch variants that sit alongside it in the asset_capabilities family. No prerequisites or exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered structurally. The description adds nothing — no mention of what fields are replaced, whether omitted fields are cleared, or what the API returns. It does not contradict the annotations, but it contributes zero behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity is pure under-specification rather than efficiency: a single identifier token with no front-loaded purpose, no scoping, and no usable information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation endpoint with an opaque free-form body, no output schema, and zero schema documentation, the description should explain the payload contract and return behavior. It provides none of this, leaving the tool effectively unusable without trial and error.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description supplies no parameter information at all. The 'body' parameter is an untyped free-form object with additionalProperties=true, which is precisely the case where the description must explain the payload shape, and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is the raw operation identifier 'api_asset_capabilities_update' repeated verbatim, with no verb-plus-resource phrasing an agent could act on. It is a tautology of the tool name and distinguishes nothing from siblings such as ciso_assistant_api_asset_capabilities_partial_update or _create.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to, or how it differs from the many sibling update/partial_update/create/destroy variants on asset capabilities. The agent must infer everything from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.