omnara

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

Annotations already declare destructiveHint=true and readOnlyHint=false, and the description goes well beyond them by naming exactly what is destroyed versus retained (event history, profile/config, BYO machines) and by describing repeat-call behavior. The 'no-op on already-archived' claim is a slight nuance against idempotentHint=false, but it reads as a benign clarification rather than a safety-profile 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 verb and action are front-loaded, and the long first sentence is a necessary enumeration of destructive effects rather than filler. The three follow-up sentences each carry distinct, load-bearing information (retention, listing behavior, idempotent repeat).

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 only conservative annotations, the description carries the behavioral burden well: it covers what is removed, what survives, and what a repeat call returns. It stops short of stating authorization requirements or whether archiving can be reversed, which matters for a destructive, listing-removing operation.

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 three parameters carry only names and regex patterns. Those names (agentID, orgID, projectID) and ID prefixes are largely self-explanatory and the description notes the agent is 'readable by id', but it adds no format, scope, or cross-project semantics for the 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?

States a specific verb and resource ('Archives the agent') and then enumerates the exact runtime, input, wakeup, binding, pool, and cron cleanup it performs. This differentiates it cleanly from the sibling agents_cancel, which stops a runtime but does not remove the agent from listings.

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?

The description conveys the intent of archiving (history stays readable by id, agent leaves listings), which implies when the tool is appropriate, but it never explicitly contrasts it with agents_cancel, agents_update, or any restore path. No prerequisites, permissions, or when-not-to-use conditions 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 destructiveHint=true, idempotentHint=false, and readOnlyHint=false, so the safety profile is known. The description adds nothing beyond that — it does not say whether cancellation is immediate or graceful, whether running work is terminated, or whether the operation can be undone.

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 with no waste, but this is under-specification rather than effective conciseness. Nothing is front-loaded because nothing is stated.

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?

This is a destructive mutation with four parameters, a nested actor object, no output schema, and thin annotations. The description provides none of the context needed to invoke it safely or 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 only 25%, and the description contributes zero parameter information. The required agentID/orgID/projectID are documented only by regex patterns, and the actor object is never mentioned, so the description fails to compensate for the coverage 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?

Tautological: description restates name/title.

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 cancel versus agents_archive, agents_update, or any other lifecycle sibling. An agent must infer the usage context entirely 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 declare readOnlyHint, idempotentHint, non-destructive, closed-world, so safety is covered. The description adds genuinely new behavior: page ordering, the direction each cursor walks, the returned cursor names (next_after_sequence/next_before_sequence), and precedence of before_sequence — none of which annotations supply.

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?

Front-loads the return shape, then covers the two pagination directions efficiently with no filler sentences. The second half is dense and reads slightly like a run-on, but every clause carries pagination semantics.

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?

Pagination behavior is well covered, but with no output schema the description still never says what an 'event' contains, and the three required identity parameters are undocumented in both schema and description. Adequate for paginating, incomplete for interpreting results.

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 50%, so the description must compensate. It adds the precedence rule ('before_sequence takes precedence over after_sequence') and the cursor-output relationship beyond what the schema states for after_sequence/before_sequence. It does nothing for the three required identity parameters (agentID/orgID/projectID), which remain pattern-only.

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?

States a specific verb and resource (returns one page of agent events) plus the ordering guarantee (chronological within the page), which is clear and unambiguous. It does not explicitly differentiate from siblings like agents_interactions_list or other list tools, so it stops short of a 5.

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?

Gives clear operational context for two usage modes: forward pagination via after_sequence and backward pagination via before_sequence, plus the precedence rule. It never states when to prefer this tool over alternatives or any exclusions, so it is clear context without routing 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=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered structurally. The description adds no behavioral context beyond that — no mention of permissions, tenant scoping across org/project, or error behavior when an ID does not exist.

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 earned conciseness; there is no wasted sentence because there is effectively no sentence. Two words cannot front-load anything useful.

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 idempotent read tool the burden is light, and annotations plus ID patterns cover part of it. However, with no output schema and no indication of what an agent record contains or how the three scoping IDs relate, the definition is incomplete 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?

All three parameters (orgID, agentID, projectID) are required with 0% schema description coverage, and the description explains none of them. The pattern constraints for each ID type are not surfaced anywhere the agent can see meaning, so the description does nothing to compensate.

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?

Tautological: description restates name/title.

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, when-not-to-use, or alternative guidance whatsoever. With siblings such as agents_list, agents_events_list, and agents_interactions_list, some routing signal was needed and none is provided.

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, openWorldHint=true, destructiveHint=false, so the mutation profile is partly known. The description adds nothing beyond that: it does not explain delivery_mode behavior, the auto-upsert of actors, or what cancel_open_interactions destroys, all of which are non-obvious side 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?

Three words are not concise so much as under-specified. Front-loading is irrelevant when there is no content; the single fragment carries no information an agent can 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?

For a complex 7-parameter mutation with nested content blocks, media size limits, delivery modes, and a conditional cancel flag — and with no output schema to lean on — a three-word description is completely inadequate.

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 only 43% across 7 parameters with nested objects, so the description must compensate — yet it mentions no parameter at all. Critical semantics like queued vs steering delivery, or the meaning of actor identity upsert, are left entirely to 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?

"Create agent input" is essentially a restatement of the tool name (agents_input) and title ("Send agent input"). It conveys no specific verb-plus-resource distinction and gives no hint of what an "agent input" means versus sibling operations like agents_launch or agents_interactions_resolve.

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 (delivery_mode semantics, agent state requirements), and no mention of alternatives among the many agents_* siblings. 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, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description's ordering guarantee (created_at asc, then id asc) is a genuine behavioral trait beyond the annotations and is relevant to stable cursor pagination. It says nothing about paging behavior, result volume, or auth requirements, so it is only partial.

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 zero filler, which is structurally clean. However, for a seven-parameter listing tool the brevity reads as under-specification rather than disciplined 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?

Seven parameters (three required), 43% schema coverage, no output schema, and only one sentence of prose. An agent calling this cannot tell what an 'interaction' is, how paging terminates, or how state/include_subagents affect results, so the description is 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?

Schema coverage is 43%; orgID, state, agentID and projectID carry no descriptions, and the description adds no meaning for any of the seven parameters. Its mention of created_at/id hints at pagination stability but never ties to cursor or limit. It does not compensate for the coverage gap, so it falls below the baseline 3.

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 never states what the tool does; it only says how returned items are ordered. The purpose is recoverable only from the name/title ('List agent interactions'), so the description itself is effectively a restatement plus a sorting detail. It also gives no differentiation from siblings such as agents_events_list or agents_interactions_resolve.

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 among the many agents_* siblings. An agent gets no signal about when to call this versus agents_events_list or agents_get.

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, openWorldHint=true, idempotentHint=false, destructiveHint=false, covering the safety profile. The description adds nothing about what resolving does (does it consume the interaction? mutate agent state? block?), so it provides no value beyond 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?

A three-word phrase is not concise so much as under-specified; there is no front-loaded content because there is essentially no content at all. It fails to earn its place by conveying any 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 6-parameter, 5-required mutation tool with nested objects, no output schema, and unspecified side effects, the description is completely inadequate. An agent cannot know what resolving an interaction does or how answers map to interaction options.

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 only 17% across 6 parameters and 5 required, with nested objects and no output schema. The description says nothing about answers, interactionID, actor, or the option_indices semantics, leaving the burden entirely unmet.

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?

Tautological: description restates name/title.

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 versus alternatives such as agents_input or agents_interactions_list, nor any prerequisites or conditions. The one-line description is a bare restatement with zero usage context.

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?

With annotations already declaring this is a non-read-only, open-world, non-destructive operation, the description adds real value beyond them: required permissions, atomic commit of config/agent/initial input, and detailed idempotency-key replay semantics ('the retry body is not applied and integration references are not resolved again'). It stops short of 5 because it does not say what the response looks like or what happens on permission failure.

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?

Four compact sentences, front-loaded with the action and followed by prerequisites and replay behavior; every sentence carries information. The permission sentence is dense but not wasteful.

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 an 11-parameter tool with deeply nested objects and no output schema, the description covers the main behavioral risks (atomicity, permissions, replay) but omits how the three launch sources (profile / config / config_source) relate, what the returned agent contains, and error/conflict behavior.

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 64%, so the schema already documents much of the surface, and the description adds meaning for tools, subscriptions, interaction handlers, and the attributed initial text input. It says nothing about name, profile, orgID, projectID, or config_source, so it only partially compensates for the uncovered 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 specific verb and resource ('Launch from a pinned config') and enumerates what can be attached in the same call, so an agent can distinguish this from configs_create, profiles_create, or agents_update. It never explicitly names a sibling, and the phrase 'pinned config' is slightly ambiguous given the schema also accepts profile and config_source, so it falls short of a 5.

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 gives the conditions required to succeed (project management permission for integration capabilities, agent operate permission for launching an existing config) and describes idempotency-key replay, which is useful context. However, there is no explicit 'use this when / use X instead' routing against the many sibling tools (agents_input, configs_create, profiles_create), so usage is only implied.

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, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds only the default sort order and omits meaningful behavior such as pagination via cursor and the default exclusion of archived agents and subagents.

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 for an 11-parameter listing tool this is under-specification rather than effective conciseness. It also omits any front-loaded statement of 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?

With 11 parameters, no output schema, and filtering/pagination behavior to explain, a lone sentence about ordering leaves the agent without the information needed to call this correctly. Purpose, scoping requirements, and default filters are all 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?

Schema description coverage is 82%, above the threshold where the schema carries parameter documentation, so 3 is the baseline. The description adds no parameter detail and arguably conflicts with the configurable sort enum by asserting a fixed ordering.

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 never states what the tool does; it only says how results are ordered. The purpose (listing agents) is inferable solely from the tool name and title, so the description adds no clarifying verb+resource of its own.

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 distinction from siblings like agents_get or agents_events_list, and no mention of required scoping (orgID/projectID). The ordering note is not usage 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 destructiveHint=true, idempotentHint=false, and readOnlyHint=false, so the safety profile is covered by structured data. The description adds nothing about what gets replaced, whether the provided source fully overwrites the existing config, or what happens on conflict — and no contradiction exists.

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 is under-specification rather than conciseness; four words that duplicate the title earn nothing and leave the agent with no actionable framing.

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 config-overwrite tool with a deeply nested 6-parameter schema and no output schema, the description is completely inadequate. Nothing about the source/source_format duality, the optimistic-concurrency guard, or the effect of the update is conveyed.

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 6 parameters and only 17% schema description coverage, the description carries the burden of explaining parameters like source, source_format, and expected_current_config_id — and it explains none of them. The single terse clause offers no semantic value over 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?

Tautological: description restates name/title.

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 (e.g. required IDs, permissions), and no mention of alternatives among the many sibling config/agent tools. 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=false, destructiveHint=false, idempotentHint=false, and openWorldHint=false, so the safety profile is largely covered. The description adds nothing beyond that — no mention of what gets created, whether creation is validated/compiled server-side, whether duplicate names conflict, or what identifiers are 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?

It is short, but this is under-specification rather than conciseness — four words that duplicate the title. No information is front-loaded because no information exists.

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 with four required parameters, a deeply nested config schema, and no output schema, the description is completely inadequate. An agent cannot determine what a valid config source looks like, how source_format interacts with source, or what happens on success from this text.

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 only 25% (only 'source' is documented among the four required params). The description supplies zero parameter semantics, so nothing compensates for the undocumented orgID, projectID, and source_format fields, nor for the requirement that 'source' can be either YAML/JSON text or an 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?

Tautological: description restates name/title.

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 versus alternatives such as configs_get, profiles_create, or agents_launch. No prerequisites (org/project scoping, required grants) or exclusions are stated, so the agent must infer usage entirely 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 and openWorldHint=false, so the safety profile is fully covered structurally. The description contributes nothing beyond that: no note on what a missing config returns, no error behavior, no scoping by org/project. With the lower bar set by annotations, this still earns only a minimal score.

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?

Three words is short, but this is under-specification rather than conciseness — nothing is front-loaded because nothing is said. Compare the LOW calibration example "Process", which scores 2 for the same reason.

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 three-parameter, fully-required retrieval tool with no output schema and no annotation nuance beyond safety flags, the description should at least identify what an agent config is and that it is fetched within an org/project scope. None of that is present, leaving the definition 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?

Schema description coverage is 0%: three required parameters (agentConfigID, orgID, projectID) carry only regex patterns, with no prose explaining their meaning or how they relate. The description does not compensate at all, so an agent gains no semantic information about these IDs from either source.

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?

Tautological: description restates name/title.

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, no prerequisites, and no mention of alternatives like configs_create (for creating a config) or agents_get (for retrieving the related agent). The agent is left to infer usage entirely 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 establish a non-read-only, non-idempotent, open-world create. The description adds genuinely non-obvious runtime behavior: missed firings are coalesced, the trigger fires once for the oldest missed time, and the schedule resumes from the current time without retroactive firings. That is real operational context beyond the annotations, though it says nothing about authorization requirements or side effects of creating a trigger against 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?

Front-loaded with purpose, then target semantics, then firing behavior. The coalescing sentence is long and slightly overloaded, but every clause conveys distinct behavior an agent needs. No filler.

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 8 parameters including a discriminated nested `target`, the agent gets no indication of what the call returns (trigger ID, initial state) and no coverage of the integration target branch or the default state of `enabled`. The behavioral explanation of coalescing is valuable, but the definition is not fully complete for a tool of this 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?

Schema coverage is 50%, but the well-documented fields (cron, name, timezone, message_template) already carry strong inline descriptions, so the schema does the heavy lifting. The description does add semantic value for the polymorphic `target` parameter by describing profile vs agent firing behavior, but it omits the integration target variant entirely and says nothing about `enabled` or how orgID/projectID scope the trigger.

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?

States a specific verb and resource ("Creates a cron trigger that fires on a schedule") and immediately disambiguates the tool from its crons_list/get/update/delete siblings by explaining what the created trigger does at runtime. The agent knows exactly what artifact this produces.

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 through the target-type explanation: an agent profile target launches a new agent per firing, an agent target sends an input. That helps the caller pick a target, but there is no explicit when-to-use guidance, no prerequisites (org/project scoping, permissions), and no mention of crons_update as the alternative when a schedule already exists.

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, and readOnlyHint=false. The description adds no behavioral context beyond the title—it doesn't say what gets destroyed, whether deletion is reversible, or what happens to associated runs.

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 three-word description is concise but drastically under-specified for a destructive tool requiring three IDs. It is not verbose, but its size is inappropriate given the operation's risk and required inputs.

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 delete operation with three required parameters and no output schema, the description lacks essential context about effects, required identifiers, and usage. Annotations cover the safety profile, but the description still leaves an agent without enough information to confidently 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?

Schema description coverage is 0%, so the description must compensate by explaining the three required identifiers (orgID, projectID, cronTriggerID). It mentions none of them, leaving parameter meaning entirely to schema names and patterns.

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?

Tautological: description restates name/title.

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?

Provides no guidance on when to use this tool versus alternatives, nor any prerequisites or conditions. An agent receives no routing information beyond 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 declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description contributes nothing beyond that — no note about what the trigger object contains, auth/scope requirements, or failure modes when an ID does not exist.

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 reflects under-specification rather than economy — there is no front-loaded scope, no constraint, and no routing information. The single sentence earns its place only by being the tool's name.

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 three required ID parameters, no output schema, and no parameter documentation, the description is insufficient to invoke the tool confidently. An agent cannot tell what the returned trigger looks like or how the three IDs relate, though the read-only annotations do cover the basic safety question.

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 all three required parameters (orgID, projectID, cronTriggerID), so the description carries the full burden of explaining them and instead says nothing. The regex patterns hint at ID formats but the description adds no meaning about relationships or which scope each ID belongs 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?

Tautological: description restates name/title.

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 crons_list (to enumerate triggers) or crons_update (to modify one). No prerequisites or context are given, leaving the agent to infer usage entirely 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 readOnly=true, idempotent=true, destructive=false, so the safety profile is covered. The description adds one genuinely useful behavioral fact not present in the schema — the default sort is created_at descending, then id descending — but omits pagination behavior, result limits, or what a returned trigger 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, well-formed, front-loaded sentence with zero waste. But the brevity comes from under-specification rather than discipline: it omits the tool's actual function, so the economy doesn't serve the agent.

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 9-parameter, read-only list operation with no output schema, the definition leaves the agent guessing about result shape and pagination semantics. Only the default ordering is supplied; the core purpose and usage context 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?

Schema coverage is 78% with descriptive text, so most filters are self-explanatory. However, the two required parameters (orgID, projectID) have no descriptions in the schema or the description, and the description adds no parameter semantics at all — it does not compensate for that 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 never states what the tool does — it only describes result ordering. Only the name/title ('crons_list' / 'List cron triggers') communicate that this retrieves cron triggers, so the description itself is effectively a restatement of supplemental detail rather than a purpose statement.

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 how this differs from crons_get or crons_create, and no stated prerequisites (e.g., that orgID/projectID are required scope). The agent must infer all of this from the name and schema.

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=false, and openWorldHint=true, so the safety profile is covered. The description adds the useful immutability constraint, but it never clarifies whether this is a partial or full replacement update (schema hints suggest omitted fields are preserved) — a meaningful gap for a mutation tool.

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 sentences, front-loaded with what is mutable and followed by the immutability caveat. No filler, no restatement of the title.

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, and the tool has 9 parameters including a nested oneOf/discriminated target. The description addresses immutability but omits partial-update semantics, timezone handling, and the conditional requirement of message_template per target type. Adequate but leaves real gaps for a mutation of this 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?

Schema description coverage is only 44% across 9 parameters, so the description is expected to compensate. It lists three updatable fields (schedule, template, enabled) but says nothing about name, timezone, or how narrow UUID/ID parameters and the nested target discriminator behave. The schema's own field descriptions for cron, message_template, and timezone carry most of the load.

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 gives a specific verb plus the exact mutable surface ('schedule, message template, or enabled state') and separates itself from crons_create/crons_delete by naming the delete-and-recreate workflow for retargeting. An agent can distinguish this from the other crons_* siblings without opening the schema.

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 a clear when-not/alternative: the target is immutable, so changing it requires deleting and recreating. That is genuinely actionable routing guidance. It stops short of stating other conditions (e.g., that it is a partial update, or when to prefer this over reading first).

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=false, so the safety profile is covered. The description adds nothing beyond that: it does not explain that a non-idempotent call may create duplicate grants, whether re-granting an already-granted machine errors or is a no-op, 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?

At four words it is terse and front-loaded with the verb 'Create', with no wasted sentences. However, the brevity reflects under-specification rather than disciplined conciseness, leaving no room for the usage or parameter context the tool 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?

This is a non-idempotent mutation with 5 parameters (3 required), a nested metadata object, and no output schema. The description supplies no information about effects, duplicates, or the optional description/metadata fields, leaving the agent without enough context to call 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?

Schema description coverage is only 20% — only 'metadata' carries a description, while orgID, projectID, machine_id, and description are undocumented beyond regex patterns. The description mentions no parameters at all, so it fails to compensate for the coverage gap on a 5-parameter tool with a nested metadata 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 'Create project machine grant' essentially restates the tool name and title 'Grant machine to project' with no added specificity. It does not distinguish this tool from siblings like grant_machines_list, grant_machines_delete, or grant_models_add beyond the word 'machine'. It is a tautology rather than a clarifying purpose statement.

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 versus alternatives, no prerequisites (e.g. that machine and project must already exist), and no mention of the related delete/list siblings. The agent is left to infer usage entirely 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 destructiveHint=true and idempotentHint=true, so the description is not needed for the safety profile. It earns credit by disclosing cascade behavior beyond annotations: dependent processes are stopped, the machine survives, and there are no dependency blockers.

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?

Three short sentences, front-loaded with the primary action and followed by the two consequences an agent most needs. No filler, though it could be tightened slightly.

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 delete with no output schema, the description covers the key concerns: what is destroyed (access), what survives (the machine), and dependency impact. The remaining gap is the undocumented required identifiers, which is a parameter-level 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?

Schema description coverage is 0% across three required identifiers (grantID, orgID, projectID), and the description never names or explains any of them. With such 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?

States a specific verb+resource ('Removes the project's access to the machine') and immediately scopes it against machines_delete by clarifying 'The machine itself is retained'. An agent can distinguish it from the delete-machine sibling without further reading.

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?

The add/list siblings imply this is the removal counterpart, and the note about no dependency blockers hints at when deletion is safe. However, there is no explicit 'use this when...' guidance or stated alternatives/preconditions, so usage is only implied.

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. The description adds meaningful resource semantics beyond that: these grants are the directly deletable kind, while pool-derived access originates elsewhere — context an agent cannot infer from the annotations alone.

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 short sentences, zero filler, with the core purpose front-loaded and the disambiguation clause second. Every sentence 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 read-only list tool with annotations covering the safety profile, the description is nearly complete. Minor gaps: no mention of pagination behavior (cursor/limit) and no output schema, so return shape is left to inference from the pagination params.

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 67%: name glob, sort enum, limit, and cursor are documented in the schema, while orgID and projectID (both required) carry only patterns. The description says nothing about filtering, sorting, or pagination, so it adds no meaning beyond the schema — baseline 3 for middling coverage.

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?

States a specific verb and resource ('Lists explicit machine grants') and qualifies the scope ('that can be deleted directly'), which distinguishes this from pooled machine access. It does not name the sibling tool (grant_pools_list / grant_machines_add) verbatim, so the differentiation is conceptual rather than tool-precise.

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?

The second sentence routes the agent away from this tool when the access is pool-derived ('managed through project machine pool grants'), giving a clear when-not condition. It never names the alternative tool explicitly, so the agent must map the concept to a sibling name 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 readOnlyHint=false, destructiveHint=false, and idempotentHint=false, so the agent knows this is a non-destructive write with side effects on repeat. The description adds zero behavioral context of its own: it does not say that re-granting an existing model/project pair may error or overwrite, does not mention auth/permission requirements, and says nothing about the gating semantics of supports_tools, supports_reasoning, or the compaction-failure behavior tied to context_window_tokens. No contradiction with annotations, but no added value either.

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?

Four words are technically concise and front-loaded, but the brevity reflects under-specification rather than efficiency. For a 13-parameter mutation tool this length leaves the definition effectively empty; the problem is missing content, not excess verbiage.

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 13 parameters, three required, no output schema, generic annotations, and complex inheritance/ceiling semantics (input/output modalities, context budgets, reasoning gates), a single four-word phrase is wholly inadequate. An agent cannot determine scope, failure modes, or parameter interactions from this 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 77%, just under the threshold where the schema alone would justify a baseline 3. Notably the three required parameters (configured_model_id, orgID, projectID) carry no descriptions at all, and the description adds no meaning about what the grant scopes or how the optional subset/inherit parameters relate to the configured model. The description contributes nothing beyond 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?

"Create project model grant" restates the tool name and title almost verbatim, adding no new information beyond the verb+resource already in the identifier. It gives no differentiation from the many siblings in the same family (grant_models_edit, grant_models_delete, grant_models_list, grant_machines_add, grant_pools_add). This sits at the tautology end of the scale.

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?

The description provides no when-to-use guidance, no prerequisites, and never names the alternative to reach for when modifying an existing grant (grant_models_edit) instead of creating one. Nothing tells the agent under what conditions a new grant is the right call versus reusing or editing.

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 destructiveHint=true and idempotentHint=true, but the description goes well beyond them: it explains that the grant is live policy, that new launches lose model selection, that running agents lose access on their next call, that the model itself is retained, and that there are no dependency blockers. That is exactly the impact detail an agent needs before an irreversible action.

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?

Three sentences, front-loaded with the action and its immediate consequence, then impact and safety caveats. No filler or redundant restatement of the title.

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 tool with no output schema, the description covers consequences, reversibility implications, and the absence of blockers well. The only real gap is the complete silence on the three required identifiers, which an agent must derive from the schema alone.

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 all three parameters (orgID, projectID, modelGrantID) are opaque patterned IDs documented nowhere. The description never mentions how the grant is identified or how org/project scoping interacts, so it fails to compensate for the coverage 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?

States a specific verb and resource ("Removes the project's access to the configured model") and is clearly distinguishable from the sibling grant_models_add, grant_models_edit and grant_models_list. The title reinforces the scope without merely restating 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?

Usage is implied by the destructive effect, but there is no explicit routing guidance versus grant_models_edit (which presumably alters rather than removes a grant) or grant_models_list. No preconditions or exclusions are stated, leaving the agent to infer when revocation is the right call.

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?

Adds substantial behavior beyond the annotations: omitted fields retain current values, null clears an override to inherit from the configured model, changes are live policy re-applied on each agent's next model call against its pinned revision, and updates are validated only against the current revision so older pinned agents can fail. This explains why the tool is flagged destructive and non-idempotent.

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?

Three sentences, purpose front-loaded, then the omitted/null contract, then the live-policy and revision-validation consequences. Every sentence adds distinct information an agent needs and none is padding.

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 13-parameter mutation with no output schema, the description covers the mutation contract, inheritance behavior, and the risk of breaking pinned agents. It omits auth/permission requirements and return shape, but the substantive calling-time risks are addressed.

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 only 69% across 13 parameters, so the description carries partial burden. It supplies the critical shared semantics that the schema lacks: omission preserves, null clears and reverts to inheritance, and grant-level values are constrained by the configured model's capabilities.

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: it 'updates the project's overrides for the configured model', and the omitted-field/null semantics make clear this edits an existing grant rather than creating one. It does not name grant_models_add or grant_models_delete as the alternatives, so sibling differentiation is implicit rather than explicit.

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?

The description explains what the tool does operationally but never states when to reach for it over grant_models_add, grant_models_delete, or grant_models_list. Usage is inferable from the update semantics, but no explicit when-to-use or when-not-to-use guidance is provided.

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=false, so the safety profile is covered. The description adds one useful behavioral fact beyond the annotations: the default result ordering (created_at desc, id desc). However, it omits pagination behavior even though a cursor parameter exists, so the added value is thin.

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 efficient sentence with no wasted words, but it is misprioritized: the one sentence spent on ordering should have been spent on purpose and when-to-use first. Brevity here reflects under-specification rather than disciplined 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 6-parameter paginated list tool with no output schema, the description covers only ordering. It says nothing about what a model grant is, how pagination/limit interact, or what the returned items contain, leaving the agent to reconstruct behavior from sibling tools and schema alone.

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 67%, and the description gives no parameter semantics at all. It does not explain the name glob, the sort enum values, the limit/page-size behavior, or the cursor round-trip, so the ~third of undocumented parameters remain unaddressed and no meaning is added beyond 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 never states what the tool does; it only describes ordering of returned items. The name and title carry the purpose ('List project model grants'), so an agent can infer it, but the description text itself adds no purpose statement and does not distinguish this list tool from siblings like grant_machines_list or grant_secrets_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 related tools (grant_models_add, grant_models_edit, grant_models_delete), and no note about prerequisites such as the required orgID/projectID scope. The only content is a sorting statement, which is not usage 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, destructiveHint=false, and idempotentHint=false, so the write nature and non-idempotency are covered externally. The description adds nothing beyond that: it does not say what happens on duplicate grants, whether it requires specific permissions, or how the grant affects existing machines. With annotations doing the safety work, the description's complete silence on behavior 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?

It is a single five-word clause, effectively front-loaded, but this is under-specification rather than conciseness. There is no wasted text precisely because there is almost no text at all, and it fails to earn its place by conveying anything the title does not.

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 19-parameter, nested-object mutation with no output schema and only safety annotations, a one-clause description is completely inadequate. An agent cannot determine prerequisites, parameter intent, or behavioral consequences from 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 only 21% across 19 parameters, so the description must compensate for undocumented fields such as the CPU/memory limits and env overlays. It contributes zero parameter meaning, leaving most fields understood only from their names. This is a severe shortfall for a 19-parameter mutation.

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 'Create project machine pool grant' gives a verb (Create) and a resource (machine pool grant) plus scope (project), so the basic action is inferable. However, it is terse and does not differentiate from siblings like grant_pools_edit or grant_pools_get beyond the implicit add-vs-edit distinction, and it never explains what a 'grant' actually is or what it enables. Adequate but with clear gaps.

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 prerequisites (e.g., that the pool and project must already exist), and no alternatives named among the many sibling grant_* tools. The agent receives no routing help whatsoever.

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 and readOnly=false, so the safety profile is covered. The description earns credit by adding the blast radius beyond those hints: it revokes machine grants generated through the grant and stops dependent processes, while the pool survives. It omits permissions/auth requirements, but the cascade disclosure is genuinely useful 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?

Two sentences, zero filler, with the primary effect front-loaded ahead of the retention and blocker notes. Well-sized for the operation, though slightly more terse than ideal given the missing parameter 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 destructive mutation with annotations covering safety and no output schema, the description supplies the consequential details: what is destroyed, what is preserved, and that no blockers exist. It is close to complete; only permission requirements and parameter meaning are unaddressed.

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% across three required string parameters, and the description mentions neither parameter names nor their meaning, formats, or constraints. It fails to compensate for the coverage gap, leaving the agent to infer semantics from parameter names alone.

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?

States a specific verb plus resource ('Removes the project's access to the machine pool') and enumerates the cascade effect, and explicitly distinguishes itself from the pool-deletion sibling with 'The pool itself is retained.' An agent can tell this apart from grant_pools_edit and pools_delete without opening a schema.

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?

The verb 'removes' implies when to use it, and 'there are no dependency blockers' tells the agent no pre-checks are needed. However it never names an alternative (e.g., revoke via grant_pools_edit) or states an explicit when-not condition.

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 destructiveHint=true and idempotentHint=false, and the description goes well beyond that by disclosing the exact mutation model: omitted fields are preserved, null reverts an override to pool inheritance, overlays/metadata are replaced whole, and running machines are untouched while new launches pick up the changes. This is the behavioral detail an agent needs before a destructive patch and cannot get from 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?

Four sentences, front-loaded with the update contract and free of filler. Each sentence introduces a distinct rule (preserve, clear, replace-whole, effect-on-existing-vs-new) and none restates the schema or annotations.

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 19-parameter destructive mutation with no output schema, the description covers the essential semantics an agent must know to call it safely and no return-value explanation is needed. The remaining gap is per-field meaning for the numeric limits and any auth/permission context, which keeps it short of full completeness.

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 only 11%, so the 15-odd numeric limit fields (max_total_cpu, min_machine_cpu, etc.) carry no per-parameter documentation in either place. The description does add the crucial cross-cutting meaning of null versus omitted versus whole-replacement for overlay objects, which is why the nullable fields behave as they do, but it does not explain the individual limits, so compensation is partial.

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?

States a specific verb ('Updates') and resource ('the grant's overrides and limits'), so an agent knows this mutates a pool grant rather than a model grant or secret grant. It does not explicitly name which sibling it is not (e.g. grant_models_edit vs grant_pools_add/get), but the resource is clear enough to disambiguate from the surrounding CRUD family.

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?

The description implies the partial-update use case through the 'omitted fields keep their current values' rule, but never says when to reach for this tool versus grant_pools_add, grant_pools_delete, or grant_pools_get, nor states any prerequisite. Usage is inferable from the update semantics rather than 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 already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds nothing on top of that — no note on behavior when the grant does not exist, no permission requirements, no return-shape hint.

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 phrase with zero redundancy and nothing buried, so structurally there is no waste. The problem is under-specification rather than verbosity: the sentence does not carry enough payload to earn its place as the whole 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 simple three-required-parameter read tool with no output schema, the description should at minimum signal that it returns one grant identified by these IDs and what happens on a missing grant. Nothing beyond the bare title is conveyed, leaving an agent to infer everything from the schema patterns.

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 three required parameters (orgID, projectID, poolGrantID); only regex patterns are supplied, which give format but not meaning. The description compensates for none of this gap, offering no clarification of how the three identifiers relate or how to obtain them.

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?

Tautological: description restates name/title.

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 prerequisites, and no named alternative such as grant_pools_list for enumeration or grant_pools_edit for changes. The 'Get' verb implies a single-resource read, but the description never states that or provides any exclusion.

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 non-destructive behavior, so the safety profile is covered. The description adds the specific default ordering (created_at descending, then id descending), which is useful behavioral context, but it omits pagination behavior and what the returned grant items contain.

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 concise but severely under-specified. It is not front-loaded with purpose or usage, so the brevity reflects omission rather than efficient communication.

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 7-parameter list tool with no output schema, the description is far too thin. It gives only ordering and omits purpose, usage, pagination, and return-value details that an agent would need to invoke it 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 71%, and the description adds no parameter meaning beyond what the schema already provides. It does not explain how orgID/projectID or the filter/sort/pagination parameters interact with the ordering note.

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 does not state what the tool does. It only provides an ordering note, leaving the purpose entirely to the title and name. This is missing rather than merely vague.

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 about when to use this tool versus siblings like grant_pools_get, grant_pools_add, or other list tools. There is no context, no exclusions, and no routing information.

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, destructiveHint=false and openWorldHint=false, so the safety profile is partly covered. The description adds nothing beyond that: it doesn't explain what granting does, whether duplicate grants error (relevant given idempotentHint=false), 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?

Three words is not conciseness but under-specification; the text is too thin to be front-loaded meaningfully. It earns its place only by being harmless, not by being informative.

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 tool with no output schema and zero parameter documentation, the description omits the target semantics, error behavior for duplicate grants, and required authorization context. The annotations cover part of the safety story but the definition remains 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?

Schema description coverage is 0% across three required parameters (orgID, secretID, target_project_id), yet the description names none of them. Only the regex patterns in the schema hint at the expected ID formats, so the description fails to compensate for the documentation 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 title 'Grant secret to project' plus the name 'grant_secrets_add' do convey the specific verb and resource, and the resource (secrets) distinguishes it from grant_machines_add/grant_models_add siblings. However, the description itself, 'Create secret grant,' is essentially a restatement of the name with no scope, target, or effect detail.

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 grant_secrets_delete or grant_secrets_list, no prerequisites, and no indication of when a grant is appropriate. The agent must infer everything 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 destructiveHint=true and idempotentHint=true, but the description adds valuable detail beyond that: it specifies that only the project grant is deleted, while the secret, its versions, the target project, and other grants are retained, and that no dependency blockers exist. This is exactly the kind of behavioral context needed to safely invoke a destructive operation.

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 tightly written sentences with no wasted words. The critical deletion scope is front-loaded, followed by retention details, making it easy to parse quickly.

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 destructive tool with rich annotations and no output schema, the description covers the essential behavior and retention guarantees. It falls short only by not explaining the three required parameters, though their names are largely self-explanatory.

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 three required parameters with 0% description coverage, and the description provides no explanation of orgID, grantID, or secretID. It does not compensate for the missing schema documentation, leaving parameter meaning entirely to the agent's inference from names and patterns.

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?

States a specific verb ('Deletes') and resource ('this project grant'), and distinguishes itself from secrets_delete by clarifying that the secret and its versions are retained. An agent can immediately tell this removes only a grant, not the underlying secret.

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?

The description gives clear context for when to use it by stating the exact scope of deletion and what is retained, which effectively communicates when-not to use it for deleting the secret itself. However, it does not explicitly name alternative tools like secrets_delete or grant_secrets_add for comparison.

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. The description adds one genuine behavioral fact beyond structured data: the default result ordering (created_at desc, id desc). It stops there, disclosing nothing about filtering behavior or result 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 sentence with zero padding, and the one fact it conveys is front-loaded. It is appropriately sized for its content, though the content itself is thin.

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 tool with 6 parameters, 2 required, and no output schema, the description omits purpose, filtering semantics, and relationship to the secret being listed. Only the default ordering is covered, which is far from what an agent needs to call 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?

Schema coverage is only 67%, and two required parameters (orgID, secretID) carry no description anywhere. The description adds nothing about the parameters, and the ordering it mentions is tangential to the 'sort' enum rather than explaining it. It fails to compensate for the coverage 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 never states what the tool does; it only says 'Items are ordered by created_at descending, then id descending.' The verb+resource ('List secret grants') lives in the title/name, not the description, so the description itself is effectively a restatement of ordering rather than a purpose statement. It does distinguish nothing from the sibling grant_secrets_add/delete.

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 when to prefer this over grant_secrets_add or grant_secrets_delete, and no stated prerequisites. The parent/child relationship to a secret (via required secretID/orgID) is left for the agent to infer from the schema.

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, establishing this as a non-idempotent mutation. The description adds nothing beyond that — no indication of what happens on duplicate grants (relevant given idempotentHint=false), no auth requirements, and no side effects disclosed. It merely echoes "create."

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?

At three words it is short, but this is under-specification rather than conciseness — nothing meaningful is front-loaded because nothing is said. Brevity here reflects minimal effort 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 three-parameter mutation with 0% schema coverage, no output schema, and a non-idempotent hint, the description is wholly inadequate. It conveys nothing beyond the tool's name, leaving the agent with no guidance on inputs, semantics, or behavior.

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 mentions none of the three required parameters (orgID, skillID, target_project_id). The agent must infer from parameter names alone that skillID is the skill and target_project_id is the grant target. No compensation for the coverage 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?

"Create skill grant" essentially restates the tool name (grant_skills_add) and the title, adding no distinguishing information. It does imply a verb+resource, but the title "Grant skill to project" carries the actual meaning, and the description does nothing to differentiate from grant_skills_list or grant_skills_delete. This is borderline tautology.

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 sibling tools (grant_skills_list, grant_skills_delete), and no prerequisites such as required permissions or whether the skill/org/project must already exist. The reader must infer all context.

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 and idempotentHint=true, yet the description adds the genuinely useful context the annotations cannot: exactly what survives the deletion (skill, its revisions, target project, other grants) and that there are no dependency blockers. That is a precise blast-radius statement, which is the highest-value disclosure for a destructive tool.

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 tight sentence, front-loaded with the action and its scope, with every clause carrying new information (scope, retained entities, no blockers). No filler.

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?

The blast radius is well covered, but for a destructive, three-parameter mutation with 0% schema description coverage and no output schema, the description omits parameter semantics and any note on the result of the call. Adequate but with a real gap on the ID triple.

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% across three required parameters, and the description supplies no mapping or meaning for grantID, skillID, or orgID. Phrases like 'this project grant' and 'the target project' loosely gesture at the parameters but never clarify which ID selects what, so it fails to compensate for the coverage 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?

States a specific verb and resource ('Deletes only this project grant') and immediately delimits the blast radius, which separates it from siblings like skills_delete (deletes the skill itself) and grant_skills_add/grant_skills_list. An agent can distinguish it from every sibling without opening a schema.

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 rather than stated: an agent can infer this revokes a skill grant from a project, but the description never says when to prefer it over skills_delete, grant_skills_add, or grant_skills_list. No explicit conditions or alternatives are 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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The one sentence adds a genuinely non-obvious behavioral fact — the default ordering (created_at desc, then id desc) — which is not stated in the schema. It says nothing about pagination behavior, result size, or what a grant record contains, so credit 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?

One short sentence with zero filler, so there is no bloat. However, it is not front-loaded: the sentence leads with an output detail rather than establishing what the tool is, which is the opposite of appropriate structure for a tool 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?

A six-parameter, two-required listing tool with no output schema needs at minimum a purpose statement and scoping context; neither is present. The description is not misleading, but it is far too thin for a tool whose siblings supply four near-identical grant lists.

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 67%, and the two undocumented properties are the required scoping keys orgID and skillID, which carry no description in the schema or the description. The description also never clarifies that sort overrides the stated default ordering, so it does not compensate for the coverage 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 never states what the tool does — no verb, no resource, no scope. It only describes result ordering, which is a tautological supplement to the name/title rather than a statement of purpose. An agent must infer 'lists grants of a skill to something' purely from 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 when-to-use guidance and no mention of alternatives, despite close siblings grant_skills_add, grant_skills_delete, and the parallel grant_machines_list / grant_models_list / grant_secrets_list / grant_pools_list tools. Nothing tells the agent when this list is the right call.

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 this is a non-read-only, non-idempotent, non-destructive write, but the description adds no behavioral context whatsoever: no mention of what a 'BYO machine' connection entails, what credentials or secrets are consumed, whether it is reversible, or how it relates to the org/project scope. The description carries none of the burden the sparse annotations leave open.

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 comes from under-specification rather than efficient information density. The single phrase adds nothing that the tool name and title do not already convey.

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 creation tool with 9 parameters, nested objects, low schema coverage, no output schema, and only sparse annotations, the description is wholly inadequate. An agent has no basis for choosing correct values for secret_env, project_ids, or metadata, nor for knowing what the call 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?

Schema description coverage is only 33% across 9 parameters, including nested objects (env, secret_env, metadata) and a reserved-key rule in metadata. The description mentions no parameters at all, so it does nothing to compensate for the undocumented 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 a verbatim restatement of the tool title, 'Connect a BYO machine'. While 'connect' is a verb and 'machine' is a resource, 'BYO' is unexplained jargon and nothing distinguishes this from siblings like machines_update, machines_get, or pools_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 versus alternatives such as pools_create or machines_update, nor any stated prerequisites (e.g., needing an existing secret or project). The agent must infer everything 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 only declare destructive=true, idempotent=true and openWorld=false; the description goes well beyond that by itemising exactly what is destroyed (runtimes, in-flight work, daemon tokens, project grants, agent bindings) and confirming no dependency blockers exist. That is precisely the behavioural context an agent needs before issuing an irreversible delete.

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?

Three tight sentences, front-loaded with the destructive scope and followed by the exclusion and the reassurance. Every clause carries information an agent would otherwise have to guess.

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, no-output-schema tool the description covers the blast radius and the eligibility constraint thoroughly. The only meaningful gap is operational: it doesn't state required permissions or whether the deletion is immediate versus soft, which matters for a high-impact 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% with two required parameters, so the description carries the burden — but it never names machineID or orgID, gives no format/pattern context (mch_..., org_...), and does not explain whether orgID is just a scope or has additional semantics. The mention of 'machine pool' hints at an alternative identifier path but is not tied to any 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?

States a specific verb (deletes) and resource (BYO machine) and then enumerates the full cascade: daemon runtimes and work, daemon tokens, project grants, agent bindings. It also explicitly rules out a neighbouring resource class (pooled machines), so an agent can separate it from pools_delete at a glance.

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?

Gives a clear when-not condition ('Pooled machines are managed through their machine pool and cannot be deleted through this route') and removes a common pre-flight worry by stating there are no dependency blockers for a BYO machine. It stops short of naming the sibling tool an agent should call instead for pooled machines.

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=false, so the safety profile is covered elsewhere. The description adds nothing beyond that — no mention of auth requirements, error behavior for a missing machineID, or what happens with an orgID the caller can't access.

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 is not conciseness in a useful sense — it is under-specification. There is no front-loaded scope, precondition, or return information to 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 two-required-parameter lookup with no output schema and no parameter descriptions, the definition should at minimum say what is retrieved and how the two identifiers relate. Neither is present, leaving the agent to infer everything except the safety hints.

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%: the two required parameters carry only regex patterns, no prose. The description does not explain that machineID identifies the machine and orgID scopes the lookup, so nothing compensates for the schema gap, though the parameter names are largely self-evident.

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?

Tautological: description restates name/title.

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 machines_list, machines_update, or grant_machines_list. The agent must infer the retrieval use case purely 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, destructiveHint=false, idempotentHint=true and openWorldHint=false, so the safety profile is fully covered. The description's one contribution is disclosing the default ordering (created_at desc, then id desc), which is genuinely useful when the sort parameter is omitted. It adds a small amount of context beyond the schema.

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 sentence with no padding, so there is no verbosity problem. However, the sentence chosen as the entire description carries an ordering detail rather than the essential purpose, so brevity here reflects under-specification rather than economical writing.

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 seven-parameter list tool with no output schema, the description omits any statement of what is returned, pagination expectations, or filter behavior, leaving the ordering note as the sole content. It is not adequate to tell an agent what calling this tool yields.

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 86%, so the schema already documents name, sort, limit, cursor, source_kind, and machine_pool_id in detail. The description only touches ordering, which loosely relates to the sort parameter's default, and adds no syntax or format information beyond the schema. Baseline 3 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 never states that the tool lists machines; it only describes the default ordering of items. The purpose is inferable solely from the name and title, which the description does nothing to confirm or extend. This is closer to an ordering footnote than a purpose statement.

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 versus siblings such as machines_get, pools_list, or grant_machines_list, and no conditions or prerequisites are mentioned. Nothing distinguishes this listing call from the other list operations in the toolset.

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=false, and readOnlyHint=false, and the description adds nothing to that picture. It does not say whether the update replaces or merges existing defaults, whether fields are optional/partial, or what permissions are needed for a destructive, non-idempotent mutation. No contradiction with annotations, but near-zero added value.

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 front-loaded fragment with zero padding, which is structurally fine. But for a 5-parameter destructive mutation the brevity reflects under-specification rather than disciplined 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?

No output schema exists, so the description is the only place semantics could be filled in, and it leaves nested-object parameter behavior and required-parameter expectations unexplained. Annotations at least carry the safety profile, which keeps this above the floor, but the definition is far from complete for a tool of this 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?

Schema description coverage is 0% across 5 parameters, including two nested-object params (env, secret_env), so the schema does no explanatory work. The description offers only the loose hint that these are 'execution defaults' — it never clarifies cwd, env, secret_env, or the required orgID/machineID, so it fails to compensate for the coverage 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 gives a verb ('Update') and a resource ('machine execution defaults'), so it is not a pure tautology of the name. However, 'execution defaults' is vague — it never names which fields (cwd, env, secret_env) are actually mutable, and it does not differentiate itself from siblings like machines_create or machines_get beyond the generic verb.

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 or the machine_get/machines_list tools an agent would use to inspect state first. The agent is left to infer usage entirely 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 readOnly/idempotent/non-destructive, so the bar is lower, and the description still adds meaningful traits: it blocks on the upstream provider (latency), validates the configured credential (a failure mode), and 'can report failure as data', which is important for how an agent should interpret the response. It does not discuss permissions or credential-rotation prerequisites, so not a 5.

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 sentences, zero filler, with the core action front-loaded and the latency/failure caveats after it. Every clause 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?

With no output schema, the description wisely warns that failures can arrive as data, which is the key interpretive detail an agent needs. The remaining gap is the unexplained parameters and no hint at return shape, but for a 2-param read-only tool this is close to complete.

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 both required parameters, so the description carries the burden of explaining them and it says nothing about orgID or modelProviderConfigID. The patterned names are largely self-describing, but the description adds no semantics beyond 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?

Specific verb+resource: fetches the provider's live model catalog, and it explains the mechanism (validating the configured credential, probing the provider's /models endpoint). This clearly distinguishes it from the sibling model_providers_get (config retrieval) and models_list, which an agent can tell apart without opening a schema.

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?

The sentence 'slower than the other model provider config routes' gives comparative guidance that steers an agent toward the cheaper config routes when a live catalog probe is not needed. However, it never names the alternative tool or states an explicit when-not condition, so usage is implied rather than prescribed.

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 this is a non-readonly, non-idempotent, non-destructive create. The description adds real behavioral value beyond them: it discloses that the credential is validated when the provider exposes a validation endpoint, that /models is probed, that the catalog comes back as model_catalog, and that a failed probe does not fail creation. It stops short of stating permission requirements, duplicate-name failure behavior, or reversibility.

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 tight sentences, front-loaded with the primary action and then the side effects and their failure semantics. No filler or restatement of the name.

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 14-parameter tool with nested objects (auth_options, secret_headers, headers) and no output schema, the description covers the creation flow and return shape at a high level but leaves the parameter surface entirely to the schema. It is adequate for orientation, not for confident invocation of a complex configuration object.

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?

Fourteen parameters with only 57% schema description coverage, and the description mentions none of them. Parameters like preset, api_format, api_variant, auth_kind, orgID, and credential_secret_id are left to the schema alone, and the description does nothing to compensate for the uncovered ones or to explain how base_url/auth_kind/auth_options interact.

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?

States a specific verb and resource ('Create a model provider config') and goes further by naming the two post-creation behaviors it triggers (credential validation, /models probe). An agent can distinguish this from model_providers_update or model_providers_get without opening any schema.

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 name and the create semantics, but the description never says when to reach for this versus model_providers_update, when a `preset` should be used instead of explicit base_url/auth fields, or what the prerequisites (e.g. an existing secret) are. No exclusions or alternatives are offered.

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, and openWorldHint=false. The description adds genuine context beyond that: the deletion scope (config only), the model-dependency blocking rule, and the cluster-managed restriction, all of which affect whether the call will succeed.

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?

Three short sentences, each carrying a distinct constraint (scope, model-blocking rule, cluster-managed exclusion) with no filler. Front-loaded with the core action.

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 mutation with no output schema, the description covers the key operational risks (dependency blocking, cluster-managed exclusion) that annotations alone do not. It is nearly complete, missing only parameter-level detail.

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 neither orgID nor modelProviderConfigID is documented in the schema, and the description does not compensate by explaining either parameter's meaning or format beyond the descriptive names and regex patterns.

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?

States a specific verb and resource ("Deletes ... the model provider config") and the qualifier "only" distinguishes it from models_delete by scoping exactly what is removed. An agent can separate this from model_providers_update/get/list without opening the schema.

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?

Gives clear preconditions: deletion is blocked while configured models exist, and cluster-managed configs cannot be deleted via this route. These are explicit when-not conditions, though no alternative tool is named for those blocked cases.

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=false, so the safety profile is fully covered. The description adds nothing on top of that — no note on error behavior for unknown IDs, no auth/permission 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?

Brevity here is under-specification rather than conciseness; four words that duplicate the title carry no information beyond the function name. No front-loaded scoping or constraints because none exist.

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 read-only retrieval of two clearly named identifiers, the annotations and schema supply most of what an agent needs to invoke it, so the definition is minimally viable. It remains incomplete in that it says nothing about the returned config contents or failure modes.

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 must carry parameter meaning — and it supplies none. Both required parameters (orgID, modelProviderConfigID) are only inferable from their names and regex patterns in the schema, with no explanation of their relationship or provenance.

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?

Tautological: description restates name/title.

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 named. Nothing indicates when to call this rather than model_providers_list or model_providers_catalog, nor that it requires a specific ID returned from a prior create/list call.

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 this as a non-destructive, idempotent read operation, so the safety profile is covered. The description adds that filtering/sorting/pagination happen server-side, which is genuinely useful behavioral context, but it says nothing about default page size, ordering defaults, or any access constraints on orgID scope.

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 naming the resource and its three query capabilities, with zero filler. It would be hard to trim 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 read-only list tool with annotations covering the safety profile and an 80%-documented schema, this covers the essentials; the cursor description in the schema even implies the next_cursor return field. It stops short of noting anything about the required orgID scope or default result ordering.

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 80%, so the schema already explains name (glob), sort, limit, and cursor in detail. The description only re-summarizes those capabilities at a high level and adds nothing about the required orgID parameter, which is undocumented in the schema. Baseline 3 is appropriate.

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?

States a specific verb ('List') and resource ('model provider configs'), which is unambiguous. It does not differentiate itself from closely named siblings such as model_providers_catalog or model_providers_get, but the list semantics are clear from the name and description combined.

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?

The mention of server-side filtering, sorting, and cursor pagination implies how the tool is meant to be used (querying a collection), but there is no explicit when-to-use guidance and no reference to alternatives like model_providers_get or the catalog tool. Usage is inferable but not 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 already declare destructiveHint=true and idempotentHint=true, so the safety profile is covered by structured fields; the description adds nothing on top. It does not disclose the notable replace-semantics behavior implied by the schema (headers and secret_headers are said to replace all existing values), nor any permission 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?

It is short, but this is under-specification rather than conciseness: the single sentence carries no content and wastes the opportunity to front-load scope or requirements. Every sentence should earn its place, and this one merely echoes the title.

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 11-parameter mutation across a nested config object with no output schema, the description is completely inadequate. It leaves the agent with no notion of required identifiers, replacement semantics, or validation constraints that the schema only partially spells out.

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 11 parameters and only 64% schema description coverage, the description provides zero parameter meaning to compensate for the undocumented parameters (auth_kind, credential_secret_id, modelProviderConfigID). The rich field-level docs live in the schema, and the description adds nothing.

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?

Tautological: description restates name/title.

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 versus siblings, nor any mention of prerequisites such as needing an existing modelProviderConfigID or orgID. Nothing steers an agent between update/create/get in the model_providers_* family.

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 and destructiveHint=false, so the agent knows this is a non-destructive write. The description adds nothing on top: no mention of required auth/org scoping, validation failure modes, what is created or returned, or whether the operation is idempotent. For a 15-parameter creation tool, 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?

Four words with no waste, but the brevity is under-specification rather than conciseness. There is no front-loaded intent beyond the title, and no sentence earns additional informational 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?

For a tool with 15 parameters, a nested object parameter, five required fields, and no output schema, the description is completely inadequate. Nothing tells the agent about dependencies between fields (e.g., supported_reasoning_efforts requiring supports_reasoning), which the schema only partially encodes, and no return expectation is set.

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 87%, so the schema itself already documents nearly every parameter in depth (including constraints like provider_model_slug rejection of free-pool ids and reasoning-effort coupling). The description provides zero parameter meaning beyond that, which lands at the baseline of 3 when the schema carries the load.

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?

Tautological: description restates name/title.

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. An agent cannot tell from this text whether a model must first be registered via model_providers_create, or when to prefer models_update over recreating. No guidance is offered at all.

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 destructive=true and idempotent=true, so the safety profile is covered. The description adds value beyond that by disclosing two concrete failure modes (active project grants block deletion; cluster-managed models are out of scope), which is genuinely useful 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?

Three compact sentences, front-loaded with the core action and then the constraints. No filler or repetition.

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 mutation with no output schema, the description covers scope and blocking conditions well, and annotations carry the destructive/idempotent profile. It stops short of describing the success response or required permissions/authentication, 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?

Schema description coverage is 0% for three required ID parameters, each only carrying a regex pattern. The description offers no information about what configuredModelID, modelProviderConfigID, or orgID refer to or how they relate, so it 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?

States a specific verb and resource: 'Deletes only the configured model.' The word 'only' plus the two scope caveats sharpen it against siblings like model_providers_delete, models_update, or machines_delete, though it never names the neighboring model tools 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?

Provides real preconditions — deletion is blocked with active project grants, and cluster-managed configured models cannot be deleted via this route — which tell the agent when the call will fail. It does not, however, point to alternatives (e.g. how to delete a cluster-managed model) or contrast with models_update.

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=false, so safety behavior is covered. The description adds ordering semantics (created_at descending, then id descending), which is useful behavioral context beyond annotations. It does not mention authentication, rate limits, or pagination return behavior, so it is only a partial addition.

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 concise and does earn its place by disclosing sort order. However, it is not front-loaded with the tool's purpose, and for a four-parameter list tool the structure omits essential context. Brevity without purpose makes it feel incomplete rather than optimally concise.

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 should carry more of the return and pagination story, yet it only describes ordering. Required parameters orgID and modelProviderConfigID remain unexplained, and the tool's core purpose is absent. Given the complexity of paginated list tools, this is inadequate.

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 50%: limit and cursor are documented, but orgID and modelProviderConfigID have no schema description. The tool description adds no parameter meaning at all, so it fails to compensate for the undocumented required IDs. It only describes ordering, which is not a parameter.

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