Radarr MCP server

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

Annotations already indicate this is a non-readonly, idempotent, non-destructive operation. The description adds the POST endpoint and schema discovery advice, which is useful context, but it does not disclose possible side effects, error behavior, or response semantics. There is no contradiction with 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?

The description is short and front-loaded. The 'Create AutoTagging' line is somewhat redundant with the tool name, but the endpoint and schema-guidance sentence add practical value without unnecessary detail.

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

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

For a one-parameter create tool with rich annotations and an output schema, the description is largely complete. The schema lookup instruction resolves the main ambiguity around the open body parameter, though adding a brief note on what an autotagging is would improve overall 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?

The schema provides only an open 'body' object with additionalProperties true and 0% description coverage. The description compensates by explaining that body is the request payload and directing the agent to the matching GET or /schema endpoint to discover the expected 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 states 'Create AutoTagging' and gives the endpoint 'POST /api/v3/autotagging', making the verb and resource clear. However, it does not distinguish this from related autotagging operations like update_autotagging_by_id or list_autotagging, so the name carries much of the differentiation.

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 offers no guidance on when to use this tool versus alternatives such as update or list autotagging. The only instruction is to read the matching GET or /schema endpoint for payload fields, which addresses payload construction rather than tool selection.

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

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

Annotations declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, but the description adds no behavioral context beyond 'Create Command'. It doesn't disclose whether the command is executed asynchronously, whether it triggers side effects, or how to monitor its status. The schema-reading note concerns parameters, not behavior.

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

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

The description is compact and front-loaded: purpose, endpoint, then the single parameter note. Every line earns its place and there is 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?

An output schema exists, so return-value details are not required. However, the tool uses a generic body schema in a domain-specific API, and the description relies entirely on an external schema endpoint for payload structure. It is workable but minimal, lacking any explanation of what a command is or when this tool should be used.

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

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

The schema is a generic additionalProperties object with 0% description coverage. The description adds some value by identifying 'body' as the request payload and instructing the agent to consult the matching GET or /schema endpoint for expected fields. This is a useful pointer, but it doesn't provide actual field semantics.

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 the operation clearly: 'Create Command' with the endpoint 'POST /api/v3/command'. This is a specific verb and resource. However, it doesn't differentiate this from the many sibling create_* tools or explain what a Command is in this system.

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

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

No when-to-use guidance is provided. The description doesn't explain the purpose of commands, when to create one, or how this tool compares to alternatives. The note to read the GET or /schema endpoint is about parameter discovery, not 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?

Annotations indicate readOnlyHint=false, destructiveHint=false, idempotentHint=true. The description does not contradict these but also does not elaborate on any behavioral nuances beyond the endpoint. It mentions the need to read schema, which is helpful. However, it does not discuss potential side effects or response behavior, but the presence of annotations covers the safety profile, so a 3 is fair.

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

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

The description is very short, almost terse, but it front-loads the key action and endpoint. The advice to read the GET/schema endpoint is placed after the args, which is a minor structural issue. It is efficient but could integrate the guidance more prominently.

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 tool has a body parameter that is an open object, and the description is the only source for field documentation since schema coverage is 0%. It does point to the GET/schema endpoint, which is a useful workaround, but this is not self-contained. With many sibling tools, the description should provide more specific guidance to avoid misuse. It's minimally adequate.

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

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

Schema coverage is 0%, and the description provides no additional meaning for the 'body' parameter. It merely says 'body: Request payload.' The description does not compensate for the lack of schema documentation. This is a significant gap because the body is an open object with additionalProperties, and the agent has no idea what fields to include without external reference.

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 clearly indicates a POST operation to create a custom filter, with the endpoint path. However, it doesn't differentiate from the dozens of other create_ sibling tools beyond the resource name, which is in the tool name itself. It conveys the action and resource, but not the uniqueness constraints.

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 advises reading the matching GET or /schema endpoint to understand expected fields, which guides the agent on prerequisites. It does not explicitly state when to use this tool instead of alternatives, but the resource-specific nature makes it clear enough. This is slightly above average.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds no behavioral detail beyond the POST endpoint and the schema-discovery hint, but it does not contradict the annotations or mislead the 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?

The description is compact and well-structured: action, endpoint, then the single argument with a necessary instruction. Every line earns its place, and the key guidance is front-loaded.

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

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

For a create operation with an opaque body, the description provides the critical missing context by directing the agent to the schema endpoint. Output schema exists, so return values need no explanation, and annotations cover idempotency and destructiveness. The only gap is not explaining when to prefer this over related customformat operations, but that is minor.

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 only parameter, body, is an opaque object with additionalProperties allowed. The description compensates by explicitly telling the agent to read the matching GET or /schema endpoint to discover the expected fields, which is essential and actionable guidance for an otherwise undocumented payload.

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 ('Create CustomFormat') and includes the POST endpoint, making the action unambiguous. It does not explicitly differentiate itself from the many sibling create_* tools, but the resource name is distinctive enough.

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 a clear prerequisite: read the matching GET or /schema endpoint to learn the expected fields. However, it does not explicitly state when to choose this tool over alternatives such as update_customformat_by_id or delete_customformat_by_id; usage context is only implied by the verb and resource 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, and idempotentHint=true, so the safety profile is covered. The description adds the instruction to read the GET/schema endpoint first, which is useful context, but it does not disclose what happens on creation, validation behavior, or 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?

The description is short and front-loaded with the action and endpoint. The Args section is minimal and the pointer to the schema endpoint is useful, though the 'Args:' label adds little 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 create operation with an opaque body and no schema coverage, the description is incomplete. It relies entirely on the agent fetching the GET or /schema endpoint, and it does not explain the resource's purpose, required fields, or expected response. The output schema exists but the description does not reference it.

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

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

Schema description coverage is 0%, and the only parameter is an opaque 'body' object with additionalProperties: true. The description tells the agent to read the GET or /schema endpoint to learn the fields, which is a workaround, but it does not itself add any semantic meaning to the body parameter.

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

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

The description states a clear verb and resource ('Create DelayProfile') and includes the HTTP endpoint, so an agent knows what the tool does. However, it does not explain what a DelayProfile is or how it differs from the many other create_* siblings, so differentiation is weak.

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 no guidance on when to use this tool versus alternatives. It only says to read the matching GET or /schema endpoint first, which is a prerequisite hint but not a usage condition or 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 idempotentHint=true, readOnlyHint=false, and destructiveHint=false, so the safety profile is known. The description adds only the HTTP endpoint and a pointer to the schema, with no side-effect, error, or auth context; it neither reinforces nor explains the idempotent behavior.

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

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

The description is short, front-loaded with the purpose, and structured with a clear Args block. Each line adds at least endpoint or parameter-location context, though the force_save line is thin and mostly restates schema 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 an open-bodied create call with zero schema description coverage, the pointer to GET/schema is the critical missing piece and is present. Still, force_save semantics and the relationship to sibling test/update endpoints are left unexplained, so an agent would need to infer or probe those details.

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 body parameter gets a meaningful directive—read the matching GET or /schema endpoint first—which is valuable because the schema shows an open object with additionalProperties. However, force_save is only labeled 'Query parameter' with no semantics, and schema description coverage is 0%, so the description does not fully 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?

The description opens with the imperative 'Create DownloadClient' and confirms it with the explicit POST endpoint, giving a specific verb and resource. This is unambiguous against siblings like create_downloadclient_test or update_downloadclient_by_id.

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 use case is implied—create a download client—but the description never states when to prefer this over the sibling test endpoints or when not to use it. The instruction to read the matching GET or /schema endpoint is a useful prerequisite, but no explicit alternative routing 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 provide safety signals (readOnlyHint=false, idempotentHint=true, destructiveHint=false). The description adds a useful pre-call instruction to consult the schema, but does not disclose side effects, permissions, or other behavioral details.

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

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

The description is compact and front-loaded with the core statement. The endpoint and argument breakdown are useful, though the unexplained 'action' concept could have been expanded without hurting 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?

Given the cryptic tool name and the dynamic body requirement, the description should clarify what a named action is and when this variant is appropriate. Pointing to the schema helps with body construction but not with overall usage context.

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%, so the description carries the parameter-semantics burden. It does clarify that name is a path parameter and body is the request payload, and directs to the schema for field details, but this is minimal and leaves body structure largely unspecified.

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

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

The description states a clear verb and resource ('Create DownloadClient'), so the basic purpose is evident. However, it does not explain what 'action' means or how this differs from the sibling create_downloadclient, leaving ambiguity.

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

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

No guidance is given on when to use this tool versus create_downloadclient or the test variants. The only instruction is to read the GET/schema endpoint first, which is about preparation, not 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?

The description adds almost nothing beyond the annotations. It says 'Create' implying mutation, but the endpoint is a test. The idempotentHint is true, but the description doesn't clarify whether this saves anything or just sends a test request. No side effects, authentication needs, or return behavior are disclosed.

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

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

The description is short and not bloated, but it's essentially a docstring with the HTTP method and a bare-bones args list. It is not well-structured or front-loaded with critical information; it is under-specified rather than 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?

The description is severely incomplete. It misstates the core action (create vs test), omits any mention of the request body structure, doesn't clarify the effect of the test, and fails to distinguish from siblings. Given nested objects and an output schema, an agent cannot reliably call this tool.

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

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

The body parameter is given a useful pointer ('Read the matching GET or the /schema endpoint first') which helps, but force_test is only labeled 'Query parameter' with no meaning. Schema coverage is 0%, so the description must compensate more, but it barely does.

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

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

The description says 'Create DownloadClient' but the tool name is 'create_downloadclient_test' and the endpoint is /test, indicating this is a test operation, not a creation. It fails to state that this validates a download client configuration, and it is indistinguishable from the sibling 'create_downloadclient' which actually creates a client. The verb and resource are misleading.

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 create_downloadclient (actual creation) or create_downloadclient_testall (test all clients). No context, prerequisites, or exclusions are 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 provide readOnlyHint=false and idempotentHint=true, but the description adds no real behavioral context about testing all download clients or side effects. It instead misrepresents the operation as a create action, making the behavioral picture worse than 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?

The description is short, but the brevity is due to under-specification rather than efficient writing. 'Create DownloadClient' is a generic and likely incorrect summary, and the endpoint line is the only informative piece.

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?

Despite having no parameters, an output schema, and annotations, the description is not complete enough because it fails to state the actual test-all behavior or when to select it. The endpoint is a hint, but the description itself omits the key semantic.

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

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

The input schema has zero properties, so there are no parameter semantics to document. The description cannot add meaningful parameter information, and the baseline for a zero-parameter tool 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?

The description says 'Create DownloadClient.' but the endpoint and tool name indicate a test-all operation. This is misleading, not just vague, and it does not distinguish the tool from create_downloadclient or create_downloadclient_test.

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 test-all tool versus the sibling create_downloadclient or create_downloadclient_test tools. The 'Create DownloadClient' phrasing actively misroutes an agent trying to create or test a single client.

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=true, and the description's POST/Create framing is consistent with these—no contradiction. The description adds a bit of operational context (the endpoint and the schema-first workflow), but it does not disclose what the response returns or any side effects beyond what annotations imply. With annotations carrying the safety profile, the description's thin additional context earns a 3.

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

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

The description is tight—three short lines plus a compact Arg note—with 'Create ImportListExclusion' front-loaded before the endpoint. There is minimal waste, though 'Create ImportListExclusion' somewhat restates the tool name and the POST line adds limited new information. It is efficient and well-structured, just not maximally so.

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

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

For a create tool whose body is an opaque additionalProperties:true object, the description is thin. The output_schema exists and annotations are present, which lightens the burden, but the agent is essentially told to go read another endpoint to construct the payload. Nothing explains what an exclusion is, what fields matter, or how this differs from create_exclusions_bulk. Adequate but with clear gaps for a black-box-body create 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 coverage is 0%, and the schema only defines 'body' as an open object with additionalProperties: true. The description compensates partially by explaining body = 'Request payload' and pointing the agent to GET/schema endpoints to discover the expected fields. This adds direction beyond the bare schema, but it supplies no actual field semantics and leaves the agent to discover them externally, so it only partially fills the 0% 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 states a specific verb+resource: 'Create ImportListExclusion' plus the endpoint 'POST /api/v3/exclusions'. This is clear and not a tautology, and the POST line reinforces the operation. However, it never explains what an ImportListExclusion is (e.g., excluding movies from automatic import) and does not differentiate it from the sibling create_exclusions_bulk, so it is not fully distinct from its siblings.

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. It never mentions create_exclusions_bulk for bulk needs, nor update_exclusions_by_id or delete_exclusions_by_id for the lifecycle. The only directional hint—'Read the matching GET or the /schema endpoint first'—is a discovery tip for the payload, not a usage condition. No explicit when/when-not 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 convey readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds the HTTP endpoint and a pointer to GET/schema, but reveals no additional behavioral traits such as what creating multiple exclusions entails, response behavior, or side effects beyond what the name implies.

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

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

The description is compact and front-loads the core action, with endpoint and argument guidance in the minimum number of lines. It could be slightly more informative without bloat, but it is well-structured.

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 one required opaque body parameter and an output schema available, the pointer to GET/schema is a reasonable minimum for constructing a payload. Yet it omits when to prefer bulk creation and any bulk-specific semantics, leaving an agent to infer behavior from the tool name.

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

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

Schema coverage is 0% for the only required body parameter, so the description must compensate. It labels body as the request payload and instructs the agent to read the matching GET or /schema endpoint to learn expected fields, which is useful but does not directly describe any parameter fields or formats.

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 opens with 'Create ImportListExclusion', a specific verb and resource, and the endpoint POST /api/v3/exclusions/bulk identifies the bulk create variant. However, it does not explicitly explain how this differs from the sibling create_exclusions tool, so it is not fully distinguishing.

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 about when to use this tool versus create_exclusions or other create_* siblings. The only guidance is to read the matching GET or /schema endpoint before calling, which is about payload discovery, not selection among alternatives.

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 indicate readOnlyHint=false, idempotentHint=true, and destructiveHint=false, and the description adds no behavioral context beyond restating that a POST is made. It does not disclose what side effects creating failed history has, what the id refers to, or what the response implies. No contradiction with annotations, but no added transparency 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?

The description is very short and free of verbosity, and the endpoint plus Args section are clearly structured. However, the opening sentence "Create History." is uninformative and does not earn its place, making the conciseness more a symptom of under-specification than effective economy.

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?

Although the tool has only one parameter and an output schema, the core semantics of the operation are missing: what "failed history" means, what id must be supplied, and what effect the POST has. An agent could invoke the endpoint but would not understand the business meaning or verify correct usage.

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, but it only says "id: Path parameter." This tells the parameter's location in the request, not what the id identifies or how it relates to history entries. For a required integer parameter, this is insufficient semantic information.

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 simply says "Create History," which largely restates the tool name without clarifying what "failed" means or what the operation actually accomplishes. The endpoint path /api/v3/history/failed/{id} hints at the domain but is not a human-readable purpose statement. This is closer to tautology than a clear, distinguishing description.

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

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

There is no guidance on when to use this tool versus alternatives such as list_history or other create_* tools. The description provides no context, conditions, or exclusions, leaving the agent to guess the appropriate invocation scenario.

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 indicate readOnlyHint=false and destructiveHint=false, and the description correctly implies a mutation (create) without contradicting them. The description adds the useful directive to read the matching GET or /schema endpoint first, which hints at how to construct the body, but it does not disclose other behavioral aspects like idempotency semantics (though idempotentHint=true is annotated), required permissions, or the shape of the response.

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

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

The description is brief and front-loaded with the purpose, which is good for scannability. However, it is too sparse: it lists arguments but omits any example or clarification that would help an agent. The structure is acceptable but could be improved by elaborating on the body requirements inline instead of only pointing to another endpoint.

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?

Given the complexity of an open 'body' object, an agent needs to know which fields to include. The description outsources this to the GET or /schema endpoint, which is a valid workaround but not self-contained. It does not explain the output schema, the behavior of force_save, or how this creation relates to other import-list operations. The presence of many siblings and an output schema (which is not described) further reduces 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?

The description provides minimal parameter meaning: 'body' is described as 'Request payload' (tautological) with a pointer to the GET/schema endpoint, and 'force_save' is only labeled as a 'Query parameter' without explaining its purpose. Since schema coverage is 0% and the body is an open object (additionalProperties: true), the description fails to compensate by explaining expected fields or the effect of force_save. This leaves the agent under-informed.

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 the verb 'Create' and the resource 'ImportList' clearly, which is specific enough to distinguish it from most other create_* tools. It also provides the exact endpoint (POST /api/v3/importlist), adding precision. However, it does not differentiate from closely related siblings like create_importlist_movie or create_importlist_action_by_name, which might cause confusion about which exact operation to invoke.

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 the many sibling tools. The description does not mention any prerequisites, alternatives, or exclusions. An agent would have to infer from the name that it creates an import list, but it is not told when to prefer this over related create operations or how to handle bulk operations.

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 indicate this is not read-only, is idempotent, and is not destructive, so the description does not contradict them. However, it adds no behavioral context beyond 'Create' and the HTTP method — it does not disclose what the action does, what side effects occur, or what happens to existing data. With annotations present, the bar is lower, but the description still contributes little behavioral insight.

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

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

The description is short and front-loaded: purpose, endpoint, then parameter notes. There is no filler or redundancy. It is concise, though its brevity comes at the cost of semantic richness.

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 tool has an output schema and annotations, but the description still fails to clarify the actual operation ('action by name'), the meaning of the name parameter in context, and the relationship to sibling importlist tools. For an action endpoint with a dynamic body, the description is too incomplete for an agent to select and invoke 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 0%, so the description must compensate. It does add some meaning: 'name' is identified as a path parameter and 'body' as a request payload, plus a pointer to the schema/GET endpoints for expected fields. Yet the body remains an opaque additionalProperties object and no actual field semantics are described, leaving the agent dependent on external lookups.

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 phrase 'Create ImportList' states a verb and resource, so the basic action is visible. However, it is too generic: the tool name includes 'action_by_name' and the endpoint is /importlist/action/{name}, but the description does not explain what 'action' means or how this differs from create_importlist, create_importlist_test, or create_importlist_testall.

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 only usage guidance is 'Read the matching GET or the /schema endpoint first to see the fields this resource expects,' which is a useful prerequisite but not selection guidance. There is no statement about when to use this tool versus sibling create/list/update/delete importlist tools, and no exclusions or alternatives are mentioned.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description does not contradict these and adds the procedural hint to read GET/schema endpoints first, but it does not disclose additional behavioral traits such as side effects, prerequisites, or error behavior.

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

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

The description is compact and front-loaded: it states the purpose in one sentence, gives the endpoint, and explains how to handle the body parameter. There is no filler or redundant 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?

Given that the body is an open object and an output schema exists, directing the agent to read GET/schema endpoints is a reasonable way to handle dynamic fields. The annotations cover safety and idempotency. However, it could be more complete by naming the specific matching GET sibling or clarifying the semantics of an importlist movie.

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 only parameter, body, is an open object with additionalProperties=true and 0% schema description coverage. The description adds value by labeling it as a request payload and directing the agent to the matching GET or /schema endpoint to discover expected fields, but it does not provide concrete field semantics or shape details.

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 the verb and resource explicitly: 'Create ImportListMovies.' and gives the endpoint POST /api/v3/importlist/movie. This makes the tool distinguishable from create_importlist and list_importlist_movie, though it does not explain what an ImportListMovie is.

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 guidance on when to use this tool versus siblings or when not to use it. The instruction to read the matching GET or /schema endpoint is about constructing the request body, not about selecting this tool over alternatives.

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 say the tool is not read-only, is idempotent, and is non-destructive, but the description adds little context beyond that. It does not explain that this tests an import list configuration or what side effects may occur, and 'Create ImportList' actively obscures the endpoint's test behavior.

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

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

The description is short and front-loaded, with no verbose filler. However, the first sentence is misleading, and the force_test line adds no information beyond the parameter 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?

The presence of an output schema covers return values, but the definition fails to explain the test nature, force_test's role, or how this differs from related importlist tools. An agent would not know whether this operation persists anything or merely validates a configuration.

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

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

Schema description coverage is 0%, so the description carries the burden of explaining parameters, but it only labels body as 'Request payload' and force_test as 'Query parameter'. The body guidance to consult the schema is somewhat useful, but force_test's meaning remains entirely unexplained.

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

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

The description opens with 'Create ImportList', which is misleading for an endpoint at /api/v3/importlist/test – the operation appears to be a test, not a creation. It repeats the create_importlist pattern and does not distinguish itself from create_importlist or create_importlist_testall.

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

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

No guidance is given on when to use this tool versus create_importlist or create_importlist_testall. The only instruction, to read the GET/schema endpoint first, is workflow advice rather than selection criteria.

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 provide idempotentHint=true and destructiveHint=false. The description adds only the endpoint path and no behavioral context; the phrase 'Create ImportList' may actively mislead an agent about the actual testall behavior, though it does not directly contradict the annotations.

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

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

The description is extremely short, but this is under-specification rather than effective conciseness. The opening phrase restates the tool name and the endpoint line adds little explanatory value without clarifying the operation.

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?

Even though there are no parameters and an output schema exists, the description leaves the core purpose ambiguous. An agent cannot determine what 'testall' does or why it should choose this tool over its siblings.

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

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

The input schema has zero parameters and schema description coverage is 100%, so there is no parameter meaning for the description to add. The baseline of 4 for a parameterless tool 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 says 'Create ImportList' but the tool name and endpoint ('/testall') indicate a testing operation, not creation. It does not explain what 'testall' does and fails to distinguish this tool from close siblings like create_importlist_test or create_importlist.

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 about when to use this tool versus alternatives such as create_importlist_test, create_importlist, or create_importlist_action_by_name. No conditions, exclusions, or selection criteria are 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 cover the safety profile (idempotent, non-destructive, not read-only). The description contributes no extra behavioral context beyond the action itself; it does not explain side effects, permissions, or the meaning/impact of force_save. There is no contradiction, but the description adds zero transparency beyond 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?

The description is extremely lean, with a clear endpoint line and a compact args list. Every sentence is purposeful, with no fluff or redundancy, making it highly scannable for an agent. The structure is consistent and front-loaded.

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

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

Given the free-form body object and the large sibling tool set, the description is under-specified. It omits the meaning of force_save, any schema for the body, and any guidance on when to choose this tool over test/action variants. The pointer to GET/schema is a useful survival hint, but the description alone does not equip an agent to correctly construct a request.

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% for descriptions, so the description must compensate. It labels body as 'Request payload' and points to the GET/schema endpoint for field discovery, which is helpful but still leaves the actual content unspecified. force_save is only noted as a 'Query parameter' with no explanation of its purpose or effect, offering little semantic value.

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

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

The description states a clear verb ('Create') and resource ('Indexer') and includes the explicit POST endpoint, which firmly distinguishes it as the direct creation operation. However, it does not differentiate from related tools like create_indexer_test or create_indexer_action_by_name, so it falls short of a perfect score.

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 alternatives. The only operational hint is to read the GET or /schema endpoint first, which is a prerequisite rather than usage context. There is no mention of preferring this over create_indexer_test or other sibling tools.

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 indicate a non-read, non-destructive, idempotent operation, so the bar is lower. The description adds useful behavior by warning that body fields must be discovered from the matching GET or /schema endpoint before constructing the payload. It does not contradict the annotations, though it does little else to describe side effects or authorization 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?

The description is short and mostly front-loaded, with no fluff or repeated schema information. The misleading 'Create Indexer.' line and the bare Args list keep this from being a polished, high-quality structure.

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 a dynamic body schema and many closely related siblings, the description is too thin: it omits the target of 'name', the nature of the action, and when to use this endpoint. The instruction to consult GET/schema is helpful, but it does not make the definition complete enough for reliable selection and 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%, so the description must compensate. It clarifies that name is a path parameter and that body is the request payload whose expected fields are dynamic and should be looked up first. However, it never explains what 'name' identifies (indexer name vs action name), which is a key 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 opens with 'Create Indexer.' and gives the endpoint POST /api/v3/indexer/action/{name}, which strongly implies an action performed on an indexer, not creation of an indexer. Because there is a sibling create_indexer, this statement misleads an agent about what the tool actually does and fails to distinguish the action operation.

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

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

It provides a procedural hint to read the matching GET or /schema endpoint before calling, but it never says when this tool should be chosen over create_indexer, create_indexer_test, or the other indexer-related create tools. No exclusions or alternatives are mentioned, leaving usage selection to inference.

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 indicate idempotentHint=true, readOnlyHint=false, and destructiveHint=false. The description adds little behavioral context: it does not explain whether a test request is performed, whether a resource is actually created, what side effects occur, or what the response represents. The word 'Create' plus the /test endpoint leaves the actual behavior ambiguous.

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

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

The description is compact and scannable, with the endpoint and args listed without filler. However, the opening 'Create Indexer' is misleading and under-specified, so the structure is clean but does not earn its place by conveying the tool's actual 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?

The description does not clarify the test-versus-create distinction, the meaning of force_test, or how this relates to create_indexer and create_indexer_testall. Given the large sibling set and an opaque body with additionalProperties: true, an agent needs more context to invoke this correctly.

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

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

Schema coverage is 0%, so the description must compensate. It does give useful guidance for the required body parameter by telling the agent to consult the matching GET or /schema endpoint for field definitions. However, force_test is only described as 'Query parameter' with no explanation of what forcing a test does, so parameter semantics are only partially addressed.

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

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

The description says 'Create Indexer,' which essentially restates the non-test portion of the tool name and omits the 'test' concept. The endpoint /api/v3/indexer/test hints at testing, but the text does not clarify whether this creates a persisted indexer or runs a connectivity test, making it hard to distinguish from siblings like create_indexer and create_indexer_testall.

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 only guidance is procedural: read the matching GET or /schema endpoint first to learn expected body fields. There is no statement about when to use this tool instead of create_indexer, create_indexer_testall, or other *_test tools, and no mention of prerequisites or consequences.

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

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

The description provides no behavioral transparency beyond the misleading 'Create Indexer.' label. It does not explain that this is a test-all operation, whether it modifies stored configuration, or what kind of results it returns. Annotations are not directly contradicted, but the description adds no useful behavioral context and misrepresents the endpoint's purpose.

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

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

The description is short, but the primary sentence 'Create Indexer.' is inaccurate and generic. The endpoint line is the only useful signal, so this is under-specification rather than effective 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?

Although the tool has no parameters and an output schema exists, the description still omits the essential context that this endpoint tests all indexers. An agent cannot understand what action is performed, when to call it, or how it differs from create_indexer_test, leaving the endpoint path and sibling names as the only clues.

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

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

The input schema has zero parameters and 100% schema description coverage, so there is no parameter detail for the description to add. The 0-parameter baseline applies; no additional parameter semantics are required.

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

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

The description says 'Create Indexer.' but the tool name and endpoint /api/v3/indexer/testall indicate this is a test-all action, not a create action. It never mentions testing, and it does not distinguish itself from create_indexer or create_indexer_test, making the stated purpose actively misleading.

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 about when to use this tool versus siblings like create_indexer, create_indexer_test, or other *_testall tools. No context, prerequisites, alternatives, or exclusions are 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?

The annotations already convey that this is a non-read-only, idempotent, non-destructive operation, and the description adds no behavioral details beyond that. It does not disclose whether an existing session is replaced, whether credentials are required in the body, or what side effects (e.g., issuing an authentication token) occur.

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

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

The description is compact and logically structured: a one-line summary, the endpoint, then argument descriptions. It contains no filler, though the brevity is achieved by leaving important behavioral and usage context out.

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 login/authentication tool, the description omits the most important context: what the agent should do with the result, whether authentication is required for subsequent calls, and how this relates to the logout/login sibling tools. Output schema existence covers return values, but the missing operational context makes the tool hard to use correctly in a broader workflow.

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 0% schema description coverage, the description partially compensates by explaining that body is a request payload whose expected fields must be discovered from the matching GET or /schema endpoint. return_url, however, is only called a 'Query parameter', which adds location but not its meaning or purpose.

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 opens with 'Create Authentication.' and gives the endpoint 'POST /login', which identifies the operation as creating an authentication/login resource. However, it never explains what 'authentication' means in practice (e.g., logging in, receiving a session/token), so the purpose remains somewhat vague and weakly differentiated from the abstract create_* pattern in the sibling 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 explicit statement of when to call this tool versus alternatives like list_login or list_logout. The only guidance is to read the matching GET or /schema endpoint before supplying the body, which is parameter preparation rather than usage context for choosing the tool.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the mutation nature is covered. However, the description adds only a prerequisite about reading the schema; it does not disclose what happens after creation (e.g., side effects, reversibility, or processing implications). For a non-read tool, this lack of behavioral context is a gap that annotations partially mitigate but do not fully fill.

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

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

The description is brief and to the point, with a clear 'Args' section. It avoids unnecessary fluff and front-loads the action and endpoint. While sparse, it does not waste words, making it appropriately concise for the limited information it provides.

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 tool has a nested object parameter and an output schema, so an agent needs more context than what is given. The description instructs the agent to consult external endpoints, but it never explains what a manual import is, what the effect of creation is, or how the response relates to the request. This reliance on external lookups leaves the definition incomplete for safe and 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%, and the only parameter 'body' is an open object. The description adds value by indicating that 'body' is a request payload and directing the agent to the matching GET or /schema endpoint for field details. This is a useful pointer but does not actually describe any fields, so it only partially compensates for the missing schema documentation.

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

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

The description says 'Create ManualImport' which is essentially a restatement of the tool name with a verb. It does not explain what a ManualImport is or what creating one accomplishes, nor does it distinguish this from siblings like create_movie_import or create_importlist_movie. The HTTP endpoint is provided but adds no semantic clarity. This is barely above a 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 guidance on when to use this tool versus alternatives. The only instruction, 'Read the matching GET or the /schema endpoint first,' addresses parameter preparation, not usage selection. No conditions, exclusions, or alternative tool mentions are given, leaving the agent to guess when this is the right choice among dozens of create_* tools.

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

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

Annotations already cover the core read/write/idempotent profile, and the description adds a useful caveat: the body fields are not static and must be discovered via GET or /schema. No other behavioral details like auth, error modes, or side effects are provided, so it earns a mid 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?

Tight and organized: action, endpoint, then args. No filler. However, the args section is so terse that it borders on under-specification rather than concise clarity.

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?

Despite an output schema, the description leaves the agent reliant on external endpoints to learn the body shape and gives no semantic for force_save. For a creation tool, it doesn't state response behavior or side effects, making it incomplete in context.

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 0% schema coverage, the description should explain both parameters. For body it points to GET/schema for fields, which is helpful; for force_save it only repeats that it's a query parameter, adding no meaning beyond 'boolean'.

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?

Clearly states verb 'Create' and resource 'Metadata', reinforced by the explicit POST endpoint. It doesn't distinguish itself from siblings like create_metadata_test or create_metadata_action_by_name, but the core action is unambiguous.

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 tool versus the many sibling create_* tools, no exclusions or alternatives. The only instruction is to consult GET/schema before constructing the body, which is about parameter discovery, not 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?

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds a meaningful behavioral pointer: the body fields are dynamic and should be discovered from the matching GET or schema endpoint. It does not disclose auth requirements or side effects, but the annotations carry much of that burden.

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

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

The description is compact and front-loaded with the endpoint, followed by minimal parameter explanations. Every line serves a purpose, and there is no redundant prose.

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?

Given the open-ended body and the presence of an output schema, the description points to the right discovery mechanism and covers invocation prerequisites reasonably well. However, it does not explain what a metadata action is, what name refers to, or how this call fits into the broader metadata lifecycle, leaving some context gaps for an agent choosing this tool.

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

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

Schema coverage is 0%, and the body is an open additionalProperties object, so the description must compensate. It does clarify that name is a path parameter, body is the request payload, and that the body's expected fields should be discovered via GET or /schema. This is helpful, but it leaves the semantics of 'name' and the actual body structure almost entirely to external discovery.

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

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

The description says 'Create Metadata.' and gives the endpoint, which identifies the resource and HTTP method, but it never explains what a 'metadata action' is or how this differs from the sibling create_metadata tool. The resource is vaguely described and the purpose is not substantially clearer than the tool name.

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

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

There is no guidance on when to use this tool versus alternatives like create_metadata, create_metadata_test, or other create_* tools. The instruction to 'Read the matching GET or the /schema endpoint first' is a useful prerequisite but does not help an agent decide between this tool and its siblings.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds no behavioral context beyond those annotations: it does not disclose that this is a test operation, what side effects it has, or how it differs from a regular create. No contradiction was found.

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

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

The description is brief and front-loaded, with the purpose first, then the endpoint, then the parameters. It contains little waste, although the force_test line mostly repeats what the schema already shows.

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 sitting among many create_* siblings, the description omits the test-specific purpose, the semantics of force_test, and when this endpoint should be chosen. The body can be discovered through the schema and an output schema exists, but the core decision context is missing.

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

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

Schema coverage is 0%, so the description must compensate. It gives a useful pointer for body — read the matching GET or /schema endpoint first — which matters because the schema defines body as an opaque object. However, force_test is merely labeled 'Query parameter,' adding no meaning about how the boolean affects behavior.

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 clearly names an action ('Create Metadata') and specifies the endpoint (POST /api/v3/metadata/test), so an agent can identify the basic operation. However, it does not explain that this is the test variant and does not distinguish it from the sibling create_metadata, so differentiation is absent.

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 or comparison with alternatives. The only hints are the '/test' suffix and the instruction to read a GET or /schema endpoint before supplying the body, but the description never states when to choose this over create_metadata or create_metadata_testall.

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 cover read-only, idempotent, and destructive hints, but the description adds no behavioral context beyond the HTTP method and path. It does not explain what "testall" does, whether it triggers side effects, or what kind of response to expect. There is no contradiction with 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?

The description is short, but this is under-specification rather than effective conciseness. "Create Metadata." adds no information beyond the name, and the bare endpoint does not earn its place by clarifying the operation.

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?

Despite having no parameters and an output schema, the description remains incomplete because it fails to state what the testall endpoint actually does. An agent cannot determine the purpose, prerequisites, or effect of calling this tool without relying on the URL path 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?

The tool has zero parameters and 100% schema coverage, so there is nothing the description needs to add about parameter semantics. The baseline of 4 applies for a parameterless tool.

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 essentially a restatement of the tool name, saying only "Create Metadata." It omits the critical "testall" action, and the endpoint path is the only clue that this may test all metadata providers. The phrase "Create Metadata" is misleading and fails to distinguish this tool from siblings like create_metadata or create_metadata_test.

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 about when to use this tool versus alternatives. The description actively misleads by implying a create operation, while the endpoint path suggests a test-all operation. No alternatives, exclusions, or conditions are 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 signal the operation is non-read-only, idempotent, and non-destructive. The description usefully adds that the body is an opaque request payload whose fields must be discovered from the GET/schema endpoint, which compensates for the empty input schema. It does not describe effects, permissions, or error behavior, but the annotations cover the basic safety profile.

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

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

The description is short and front-loaded, with the endpoint and argument guidance clearly separated. The opening 'Create Movie.' is somewhat redundant with the tool name, but the rest of the description 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?

Given the tool has a single opaque body parameter, a rich output schema, and annotations covering safety, the description is largely sufficient. It tells the agent the critical discovery path (GET/schema) but lacks explicit sibling differentiation and any statement about when manual creation is appropriate.

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. It identifies body as the 'Request payload' and tells the agent where to find the actual accepted fields, which is valuable. However, it does not enumerate or explain any specific body fields, leaving the agent dependent on an external discovery step.

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 the action ('Create') and resource ('Movie') and provides the specific POST endpoint, so an agent can tell it operates on the movie collection. However, it does not explicitly distinguish this from the sibling create_movie_import, relying on the bare endpoint and resource 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?

The only usage guidance is a prerequisite: read the matching GET or /schema endpoint before calling to discover the expected fields. It gives no indication of when to use this tool versus alternatives such as create_movie_import or other create_* tools.

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 signal idempotent (idempotentHint: true) and non-destructive (destructiveHint: false), and the description does not contradict them. It adds that the expected fields are discoverable via the GET or /schema endpoint, which is useful dynamic behavior, but it does not describe side effects, return behavior, or auth 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?

The description is compact and well-ordered: operation, endpoint, then parameter guidance. No filler is present, though the first sentence largely restates the tool 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?

The output schema exists and the description points to a schema endpoint for the body, so invocation is reasonably supported. However, it lacks context for selecting this tool among many create_* siblings and does not explain what a MovieImport represents or what the POST accomplishes, leaving a noticeable completeness gap.

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

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

With schema description coverage at 0% and an open 'body' object (additionalProperties: true), the description compensates by directing the agent to the matching GET or /schema endpoint to discover the expected fields. It gives the body parameter a clear role ('Request payload') and an actionable strategy for filling it.

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

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

The description states a specific action ('Create MovieImport') and the HTTP endpoint, making the operation clear. It does not, however, differentiate this from sibling tools like create_manualimport or create_importlist_movie beyond the endpoint, 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?

It provides one explicit instruction: read the matching GET or /schema endpoint before constructing the body. This is a useful prerequisite, but it does not say when to choose this tool over alternatives such as create_manualimport or create_importlist_movie, so usage context is only partially developed.

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 cover basic read/write/idempotency traits, but the description adds little behavioral context beyond the endpoint and a pointer to the schema. It does not disclose side effects, such as whether creating a notification sends something, requires specific permissions, or has retry consequences. No contradiction with annotations exists, but the description carries little extra behavioral weight.

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

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

The description is compact and well organized: title, endpoint, then argument notes. It avoids filler and front-loads the essential operation. The only minor issue is that 'Create Notification.' repeats the tool name, but the overall structure is efficient.

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

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

For a create operation inside a large API with many sibling create tools, this description leaves too much unspecified: what a notification is in this system, when to choose this over notification test/action variants, and what force_save actually does. The output schema exists, so return values do not need explanation, but the surrounding context is still under-specified.

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. It identifies body as the request payload and instructs the agent to read the matching GET or /schema endpoint for the expected fields, which is genuinely useful for an opaque object. force_save is only labeled as a query parameter with no explanation of its effect, 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?

The description states a clear verb and resource: 'Create Notification.' and reinforces it with the endpoint. However, it does not distinguish this from closely related siblings like create_notification_action_by_name, create_notification_test, or create_notification_testall, so the purpose is clear but the differentiation is missing.

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 alternative notification-related create tools. The only operational advice is to read the matching GET or /schema endpoint before constructing the body, which is a prerequisite rather than usage guidance. No exclusions, alternatives, or conditions are 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 provide idempotentHint=true, readOnlyHint=false, and destructiveHint=false, and the description's 'Create Notification' is consistent with those. The description adds little behavioral detail beyond what annotations already convey, but it does not contradict them.

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

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

The description is concise and front-loaded with a clear action. The endpoint and argument notes are relevant, and the text avoids unnecessary 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?

For an open-ended create operation with a body object that allows arbitrary properties, the instruction to read the matching GET or /schema endpoint is necessary and provided. Missing is any explanation of what 'action/{name}' means or when this variant differs from create_notification, which would help an agent 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?

With 0% schema description coverage, the description must compensate; it does so for body by directing the agent to consult the matching GET or /schema endpoint for the expected fields, which is important since body has additionalProperties=true. The name parameter, however, is only called a path parameter, adding no semantic meaning beyond the schema's title.

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 opens with a clear verb and resource ('Create Notification') and provides the endpoint path, making the action unambiguous. However, it does not explicitly differentiate this tool from siblings like create_notification or create_notification_test, so the 'action_by_name' variant is not fully distinguished.

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 no explicit guidance on when to use this tool instead of create_notification or create_notification_test. The only practical instruction, to read the matching GET or /schema endpoint before supplying the body, concerns payload preparation rather than tool selection.

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

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

Annotations already indicate readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds no behavioral context beyond that, such as what a test does, whether it triggers external side effects, or what a successful response indicates. The vague 'Create Notification' provides no additional transparency.

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

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

The description is extremely short but not well-structured. It contains a single vague sentence, an endpoint URL, and a list of arguments with minimal explanations. While it is concise, it is under-specified and does not effectively front-load key information like the test nature of the operation.

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 test endpoint with a nested object parameter, an output schema, and many sibling test tools. The description does not explain what the test does, what the response indicates, or when to use it. It is severely incomplete for an agent to correctly invoke and interpret the result.

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 description only tells the agent to read the GET or /schema endpoint for the body fields, offering no semantic meaning for the body payload. It also mentions force_test as a query parameter without explaining its purpose. The description fails to compensate for the lack of schema documentation.

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

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

The description says 'Create Notification' but the endpoint is /test, implying a test action rather than actual creation. It fails to clarify that this sends a test notification to verify configuration, and does not distinguish it from sibling tools like create_notification_testall or create_notification. The verb 'Create' is misleading for a test operation.

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

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

No guidance is provided on when to use this tool versus alternatives. It does not mention that this is for testing a single notification configuration, nor does it reference create_notification_testall for testing all notifications or create_notification for permanent creation. No context or exclusions are given.

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

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

Annotations declare idempotentHint true and destructiveHint false, but the description adds no behavioral context beyond the endpoint. It doesn't disclose that this likely sends test notifications to all configured services, nor any failure modes or side effects. It adds zero value beyond the 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?

The description is extremely brief, with only a single sentence and an endpoint. While it is concise in length, it is under-specified and not well-structured – it lacks context and is not front-loaded with the most important info, which would be the operation's 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?

The tool has simple semantics (no parameters) but the description fails to explain its core behavior. It doesn't clarify that it's a test operation, which is critical given the sibling create_notification. The presence of an output schema doesn't compensate for the lack of purpose explanation.

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

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

There are zero parameters, so the schema is trivially complete. The description does not need to explain parameters, and the baseline for zero-parameter tools is 4. However, the description could have noted that no input is required, but this is not a major gap.

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

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

The description is essentially a tautology – 'Create Notification' restates the tool name without explaining the 'testall' action. It does not distinguish this from create_notification, which is a separate sibling. The endpoint is mentioned but not explained, leaving the agent unable to know whether this creates a config or sends test notifications.

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 provided on when to use this tool versus create_notification_test or create_notification. There is no mention of prerequisites, side effects, or alternative operations.

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

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

The annotations already declare idempotentHint=true, destructiveHint=false, and readOnlyHint=false, but the description adds no side-effect, permission, or failure-mode context beyond the word 'Create'. Mentioning POST is structural rather than behavioral.

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

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

The description is compact and front-loaded, with the core action first and the payload guidance immediately after. It avoids filler and does not redundantly restate the input schema.

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?

Given the single opaque body parameter, the description adequately directs the agent to the schema/GET endpoint for field discovery. The output schema and annotations cover return and safety semantics, so the remaining guidance is sufficient for a competent agent to invoke this tool.

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

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

The body parameter is an opaque object with additionalProperties: true, so the schema provides no field-level meaning. The description identifies the body as a 'Request payload' and instructs the agent to consult the matching GET or /schema endpoint for expected fields, which is essential compensating guidance.

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 the specific action ('Create') and resource ('QualityProfile') and includes the HTTP endpoint. It is clear enough to distinguish from update_qualityprofile_by_id and delete_qualityprofile_by_id, though it does not explicitly differentiate from other create_* tools.

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

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

There is no guidance about when to use this tool instead of alternatives like update_qualityprofile_by_id. The only usage hint is to read the matching GET or /schema endpoint first, which helps construct the payload but does not help the agent decide when this tool is the right choice.

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 indicate this is a write operation (readOnlyHint=false) and idempotent (idempotentHint=true), so the description does not contradict them. It adds a hint to fetch the schema first, which is useful, but it does not disclose side effects such as initiating downloads or what happens to the queue. Given the annotations cover the safety profile, this is adequate but not rich.

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

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

The description is very short and to the point, with the verb front-loaded and the endpoint and arg hint in a clear structure. It wastes no words, but the brevity borders on under-specification; still, it earns a 4 for being concise and well-organized.

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 write operation with an open body and no schema coverage, the description is incomplete. It does not explain what a QueueAction is, what bulk grabbing entails, or how it differs from single grabs. The output schema exists so return format is not needed, but the agent still lacks critical context about the operation's semantics and payload requirements. The pointer to schema helps but is not sufficient.

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

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

The schema has one 'body' parameter with additionalProperties true and 0% description coverage, so the description carries the burden of explaining the payload. It only says 'Request payload' and tells the agent to read the GET or /schema endpoint for fields, which is a pointer but not actual semantic detail. It does not compensate for the lack of schema documentation, though the pointer is a helpful strategy.

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 action ('Create QueueAction') and gives the HTTP endpoint, so an agent can tell it is a creation operation for grabbing queue items in bulk. It is not a tautology, but the term 'QueueAction' is somewhat ambiguous without further context; the name and endpoint help distinguish it from single-item operations like create_queue_grab_by_id.

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 only guidance is to read the matching GET or /schema endpoint first, which addresses how to construct the body but not when to use this tool versus alternatives. There is no mention of bulk vs single grabs, or any condition for choosing this over create_queue_grab_by_id or other queue-related operations. The usage context is left to the agent to infer.

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 convey readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds no further behavior: it doesn't disclose side effects on the queue (e.g., state changes), prerequisites, or consequences. With annotations present, the bar is lowered but the description still contributes almost nothing beyond them.

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

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

While short, the description is under-specified. It repeats the endpoint and parameter without adding value. Every sentence is redundant with the name or schema, so it does not earn its place. This is not concise; it is sparse and unhelpful.

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 that performs an action on a queue item, the description is severely incomplete. It omits what 'grab' does, when to use it, and how it differs from bulk operations. Even with an output schema present, an agent cannot understand the operation's purpose or effect 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 0%, so the description must compensate, but it merely says 'id: Path parameter' which duplicates the endpoint and schema. It provides no additional meaning about the ID, its format, or its role in grabbing. The baseline for low coverage is a failed compensation.

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

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

The description says 'Create QueueAction' which is a generic verb+resource but doesn't explain what a QueueAction is or what 'grab' means. It restates the endpoint and parameter but adds no semantic distinction from sibling tools like create_queue_grab_bulk. The purpose is only as clear as the name already is.

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

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

No guidance is given on when to use this tool vs alternatives. There is no mention of when to grab a queue item, what the action does, or that a bulk variant exists. The description provides zero context for selection.

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

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

Annotations already indicate readOnlyHint=false, destructiveHint=false, and idempotentHint=true, covering the safety and mutation profile. The description adds the tip to consult GET/schema endpoints, which is a behavioral note about how to construct the request. It does not mention idempotency or what happens on duplicate creation, but with annotations present, the added value is modest.

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

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

The description is extremely concise and well-structured. It leads with the action, provides the exact HTTP endpoint, and gives a clear instruction for handling the body parameter. Every sentence serves a purpose, and there is no redundancy.

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?

Given that an output schema exists and the tool is a straightforward creation POST, the description is adequate but not rich. It does not describe the return value (though the output schema covers that), nor does it mention authentication or error scenarios. The pointer to GET/schema is important, but more context about expected behavior (e.g., idempotency confirmation) could be added. Overall, it is minimally complete for an agent that can follow the schema-reading instruction.

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 only parameter is 'body', an open object with additionalProperties true. The schema provides no field details (0% coverage), so the description's guidance to read the matching GET or /schema endpoint is essential and adds real meaning. It tells the agent how to discover the required fields, partially compensating for the sparse 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 states the verb and resource clearly: 'Create Release.' It is distinct from siblings like create_release_push or create_releaseprofile, though it does not explicitly differentiate them. The purpose is unambiguous enough for an agent to know it creates a release resource.

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 a useful prerequisite: 'Read the matching GET or the /schema endpoint first to see the fields this resource expects.' This tells the agent how to prepare, but it does not explain when to choose this tool over alternatives (e.g., create_release_push) or any exclusion criteria. The guidance is implied rather than explicit.

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 idempotent and non-destructive behavior. The description adds the guidance to consult the schema for expected fields, which is a useful behavioral hint. It does not contradict annotations and doesn't add further side-effects or auth details, but given annotation coverage, a 3 is appropriate.

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

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

The description is highly concise: a clear purpose statement, the endpoint, and a single parameter with a helpful hint. There is no redundancy, and every line carries meaningful information, making it an exemplary compact definition.

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?

Given the existence of an output schema and the pointer to GET/schema for field details, the description is reasonably complete for a simple create operation. However, it lacks any mention of response handling, required fields upfront, or potential edge cases, so it is not fully complete on its own.

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 description explains that 'body' is the request payload and directs the agent to the schema for field definitions. Since schema description coverage is 0%, this pointer is valuable, but it does not list any specific fields or structure, so it only partially compensates for the absent schema descriptions.

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 clearly states the verb 'Create' and the resource 'ReleaseProfile', and also provides the HTTP endpoint. It is distinguishable from siblings by the resource name, but it does not explicitly contrast with other create tools, so it lacks active differentiation.

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 advises reading the matching GET or /schema endpoint before constructing the body, which is a clear usage guideline. However, it does not mention when to prefer this tool over alternatives like update_releaseprofile_by_id, nor does it state any exclusions or prerequisites beyond that.

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=true. The description adds the instruction to read the schema first, which is a behavioral context about how to construct the body. It does not contradict annotations and provides a small additional hint, but it does not elaborate on side effects, authentication, or rate limits. This is acceptable given the annotations but not rich.

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

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

The description is compact and efficient, consisting of two sentences. The action and endpoint are front-loaded, and the instruction to read the schema is clearly placed. There is no wasted wording, and the length is appropriate for the sparse content.

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

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

For a create operation with an open-ended body and no field documentation, the description relies on the agent fetching the schema. It does not explain what a ReleasePush is or its purpose, nor does it clarify the distinction from the closely named create_release. Given the large sibling list, more context about when and why to use this tool is needed for an agent to call 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?

The input schema only defines 'body' as an open object with additionalProperties:true and no field descriptions. Schema description coverage is 0%. The description compensates by directing the agent to fetch the GET or /schema endpoint to learn the expected fields, which is a practical strategy. However, it does not itself explain the parameters or their semantics, so the added meaning is limited to a discovery instruction.

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 the verb 'Create' and the resource 'ReleasePush', which is a clear action-resource pair. However, it does not explain what a ReleasePush actually is, nor does it differentiate it from the sibling tool create_release, which also creates a release-related resource. The endpoint is provided but the semantic purpose remains 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?

The description gives a useful usage hint: 'Read the matching GET or the /schema endpoint first to see the fields this resource expects.' This tells the agent to discover the required body structure before calling. However, it does not specify when to use this tool versus alternatives like create_release, nor does it mention any exclusions or specific scenarios.

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

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

The description aligns with annotations (write operation, non-destructive, idempotent) and adds a practical pointer to fetch the schema first. It does not contradict any annotation, but it does not disclose additional behavioral traits such as side effects, required permissions, or rate limits. Given annotations already carry the safety profile, the added context is modest.

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

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

The description is extremely concise: two sentences and an args line, with the core purpose front-loaded. Every sentence earns its place, and there is no redundant information. It is well-structured for quick parsing.

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?

Given that an output schema exists and the single parameter is a free-form object, the description adequately directs the agent to the necessary schema documentation. It does not explain the semantic purpose of a RemotePathMapping, but that is not essential for correct invocation. The description is complete enough for an agent to know how to proceed, though it lacks any note on required vs optional fields.

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

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

The schema has 0% description coverage for the single 'body' parameter, which is a free-form object. The description compensates by explicitly instructing the agent to consult the GET or /schema endpoint for field definitions. This is helpful but stops short of enumerating any fields or required properties, so the agent must perform an extra step to understand the payload.

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 clearly states the action ('Create') and the resource ('RemotePathMapping'), and includes the HTTP endpoint. It is specific enough to distinguish from update/delete/get operations, though it relies on the resource name rather than elaborating what a RemotePathMapping is.

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 explicit instruction to read the matching GET or the /schema endpoint first to understand expected fields, which is useful for invocation. However, it does not contrast with update or delete tools, nor does it state when this tool is preferred over alternatives. The guidance is present but not comparative.

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 indicate this is a mutating, non-destructive, idempotent operation. The description adds little behavioral context beyond 'Create' and the HTTP method; it does not disclose side effects, validation behavior, or error conditions.

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

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

The description is short, direct, and front-loaded with the action and endpoint. Every sentence earns its place, and the pointer to GET/schema is a compact and useful addition.

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 single-body create tool with an output schema and relevant annotations, the description is adequately complete. The main missing piece is behavioral detail, but the instruction to read GET/schema covers the primary unknown: what body fields are expected.

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

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

The schema only documents 'body' as an opaque object, so the description's clarification that it is a request payload and the guidance to consult GET or /schema for expected fields adds actionable value. Still, it does not enumerate any RootFolder fields, leaving a discovery round-trip necessary.

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 clearly states the action ('Create') and the resource ('RootFolder'), and provides the HTTP endpoint. While it doesn't explain what a RootFolder is, the resource name is enough to distinguish it from the many sibling create_* tools.

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

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

It implies use when creating a RootFolder and gives a useful prerequisite: read the matching GET or /schema endpoint first. However, it does not state when to prefer this tool over alternatives or provide any exclusion criteria.

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

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

Annotations declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the description needs to add behavioral context such as 'triggers a restore of the backup identified by id' or 'replaces current database state.' It adds none; 'Create Backup.' only mislabels the behavior.

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 text is short but not usefully concise: the phrase 'Create Backup.' is wrong, and 'Args: id: Path parameter' only restates the URL. No meaningful information has been organized or front-loaded.

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

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

Although this is a simple one-parameter call with an output schema, the core action is mislabeled and the meaning of the id parameter is undocumented. An agent could not reliably choose or invoke this tool correctly from this definition 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 the only parameter is a bare 'id' integer. The description repeats that id is a path parameter, which the endpoint template already shows, but never explains that the id refers to a system backup to restore. This is minimal compensation for the missing schema documentation.

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

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

The description says 'Create Backup.' but the endpoint is POST /api/v3/system/backup/restore/{id}, which is a restore operation, not backup creation. This is actively misleading and does not tell an agent what resource is acted on or how it differs from sibling restore/backup tools.

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

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

There is no guidance on when to call this tool versus alternatives like create_system_backup_restore_upload or delete_system_backup_by_id. The wrong action label ('Create Backup') further obscures the correct use case instead of clarifying it.

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

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

Annotations already indicate this is a non-read-only, idempotent, non-destructive operation, but the description adds no behavioral context. It does not mention that this is an upload/restore action or reveal any effects on the system, such as replacing or restoring backup state.

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

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

The definition is very concise, with the endpoint included and no filler text. However, the brevity comes at the expense of necessary meaning, since 'Create Backup.' is skeletal and somewhat misleading.

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?

Critical context is missing: the description does not explain that this is a restore/upload operation, how it differs from related backup tools, or what request body or file is required. The endpoint path provides only a weak signal, and the annotations and output schema do not fill the gap.

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

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

The input schema has zero parameters, so the description is not required to document parameter details. However, the description also does not mention that this operation may require an upload body or file content, so it adds no meaningful parameter-level clarification.

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 reads 'Create Backup.' but the tool name and endpoint path indicate a backup restore/upload operation. It does not clearly state that this tool uploads a backup file to restore the system, and it is likely to be confused with creating a backup or with create_system_backup_restore_by_id.

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, what problem it solves, or which sibling tool should be chosen instead. There is no mention of alternatives such as create_system_backup_restore_by_id, leaving the agent to infer usage from the endpoint 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 indicate this is non-read-only, idempotent, and non-destructive, but the description adds no behavioral context beyond repeating the endpoint. It never warns that restarting the system will temporarily interrupt service or that privileged access may be required. No contradiction with the annotations 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?

The description is short but not effectively concise: 'Create System.' is filler that obscures the restart action, and the useful endpoint is separated from that misleading label. This is 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 zero-parameter tool with an output schema and annotations, the description does not need to document parameters or returns. However, it omits the operational consequence of restarting the system and the misleading 'Create System.' wording makes it less complete than a simple 'Restarts the system' would be.

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

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

The tool has zero parameters and the input schema fully covers that, so the description owes no parameter-level detail. The endpoint implies a parameterless call, and there is nothing more the description needs to explain here.

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

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

The first sentence 'Create System.' is vague and misleading—it does not name 'restart' and merely restates part of the operation name. The embedded POST /api/v3/system/restart URL reveals the intended action, but the prose itself fails to clearly state that this tool restarts the system or to distinguish it from create_system_shutdown.

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 guidance on when to use this tool versus alternatives. It contains only a generic label and an HTTP endpoint, with no preconditions, no effect context, and no mention of related operations like create_system_shutdown.

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 indicate the operation is not read-only, is idempotent, and is not marked destructive, but the description adds no behavioral detail beyond the endpoint. It does not disclose that the action powers the system down, what side effects occur, or what the response represents; the misleading 'Create System.' line actively obscures the behavior.

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

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

The description is short, but the opening sentence 'Create System.' is filler and misleading, while the genuinely useful endpoint is buried after a blank line. It should lead with the shutdown action and omit the rest.

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?

Given zero parameters and an output schema, the tool is invocable from the endpoint alone, making this minimally viable. However, it lacks a plain statement of the operation's purpose and effects, so the agent must infer shutdown semantics from the URL.

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

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

The input schema has zero properties, so there are no parameter semantics for the description to clarify. Baseline 4 is appropriate because nothing is missing for invocation.

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 leads with 'Create System.' which is misleading and does not convey that this tool shuts down the system. The endpoint path 'POST /api/v3/system/shutdown' gives a technical hint, but the natural-language purpose is missing and it fails to distinguish the tool from create_system_restart.

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 provided about when to use this tool or when to prefer an alternative such as create_system_restart. The description only contains an endpoint, not situational context, prerequisites, or exclusions.

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

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

Annotations already flag this as a mutating, idempotent, non-destructive operation; the description adds only the HTTP verb and a payload-discovery instruction, not deeper behavioral context such as auth requirements or error/side-effect behavior. It does not contradict the annotations, but it contributes little beyond them.

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

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

The description is compact and front-loaded: operation, endpoint, and the single argument are each stated in a few short lines. Every sentence serves a purpose, and there is no redundant 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?

Because the body schema is opaque, the description's instruction to first read a GET or /schema endpoint is essential and partially fills the gap. It remains vague about which matching GET is intended and gives no tag-specific shape or required-field information, so an agent must still do extra discovery before invoking the tool correctly.

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

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

With one opaque `body` object (additionalProperties true) and 0% schema description coverage, the description wisely tells the agent to read the matching GET or /schema endpoint to learn the expected fields, which is an actionable discovery path. It still gives no concrete tag fields or constraints, so it only partially compensates for the schema's lack of information.

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 opens with a specific verb and resource, 'Create Tag', and includes the exact REST endpoint 'POST /api/v3/tag', so the basic operation is unambiguous. It does not explain what a tag is nor explicitly contrast it with sibling tools like create_autotagging, update_tag_by_id, and list_tag, which prevents 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?

The operation itself gives an implied usage: use this tool when creating a tag. The description also provides one concrete prerequisite, to read a matching GET or /schema endpoint before supplying the body, but it never states when not to use this tool or how it compares with related tag/autotagging operations.

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

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

The annotations already indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=true, so the basic safety profile is covered. However, the description adds no behavioral context beyond the endpoint and operation, such as whether deletion is permanent, what resources are affected, or whether special permissions are required.

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

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

The description is short and front-loaded with the core operation, but it is under-specified. The endpoint line and the first line largely restate each other, and the Args section only repeats what the schema already shows with a negligible 'path parameter' detail.

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 single-parameter delete operation with annotations and an output schema, the definition is close to minimally viable. Still, it leaves gaps: it never defines AutoTagging, explains what deletion does to related data, or tells the agent how to source a valid id. These gaps matter even for a simple delete tool.

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

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

The input schema only states that id is a required integer. The description adds that id is a path parameter, which is mildly useful, but it does not explain what the id refers to, where to find it, or any constraints. With 0% schema description coverage, the description should compensate more than this.

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 clearly states the operation 'Delete AutoTagging' and provides the REST endpoint with the id path parameter, so an agent can identify the resource and action. It is not vague, but it adds little beyond what the tool name already conveys and does not explicitly contrast with sibling delete tools.

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

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

There is no guidance about when to use this tool instead of alternatives such as update_autotagging_by_id or delete_tag_by_id. No context is given about prerequisites, consequences, or how to obtain the id (e.g., via list_autotagging), 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 provide destructiveHint and idempotentHint, so the description adds little behavioral context. It names the DELETE method and points to GET/schema but never states what gets destroyed or whether the payload selects specific entries versus deleting the entire blocklist. No contradiction with 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?

The description is short and front-loads the purpose line, followed by the endpoint and an argument note. It is not padded, though the 'Args:' section largely restates what the input schema already shows.

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 bulk operation, the description leaves the request body shape, requiredness, and deletion scope ambiguous. The pointer to GET/schema is a partial mitigation, but the description is not sufficient for an agent to confidently invoke the tool correctly without additional discovery.

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 0% schema description coverage, the description carries the burden of explaining the body parameter, but it only says 'body: Request payload' and directs the agent elsewhere for fields. It does not name expected fields, requiredness, or how to identify which blocklist entries to delete.

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 an action ('Delete') and a resource ('Blocklist'), and the endpoint path makes the bulk nature explicit. It is clear at a basic level, though it does not explicitly differentiate itself from the sibling delete_blocklist_by_id.

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 bulk deletion tool versus delete_blocklist_by_id or other bulk deletion tools. The only instruction, 'Read the matching GET or the /schema endpoint first,' addresses request construction rather than tool selection.

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

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

Annotations indicate destructiveHint=true and idempotentHint=true, which are helpful but already available. The description adds no behavioral detail beyond the raw endpoint, such as effects of deleting, any cascading deletions, or error responses. It does not contradict annotations, but it fails to enrich the agent's understanding of the operation's consequences.

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

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

The description is efficiently concise, with a short summary and the endpoint. However, it repeats the endpoint verbatim and includes 'Args:' section, which is slightly redundant with the schema. Still, every line has a purpose and it is front-loaded.

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

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

Given the tool's simplicity (one param, no nested objects), the description is minimal but lacks context about the blocklist entity's purpose and the effect of deletion. Output schema exists but the description doesn't mention it. An agent would struggle to know when to use this over bulk deletion or how to interpret the response.

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%, so the description must compensate, but it only states 'id: Path parameter.' without explaining its meaning (e.g., the blocklist entry ID). The description provides minimal added value over the schema's type and title.

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 'Delete Blocklist' clearly states the verb and resource, and the endpoint URL makes the purpose unambiguous. It distinguishes from siblings like delete_blocklist_bulk by the singular 'by_id' in the name, though the description itself could be more explicit about deleting a single blocklist entry by its ID.

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 guidance on when to use this tool versus alternatives such as delete_blocklist_bulk or list_blocklist. It only states the operation and the endpoint, with no context for prerequisites or use 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?

The annotations already communicate destructiveHint=true, readOnlyHint=false, and idempotentHint=true, so the safety profile is covered. The description adds the exact HTTP DELETE endpoint but does not disclose additional behavioral context such as permanence, side effects, or authorization requirements. This is acceptable but not rich.

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

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

The description is brief and organized into purpose, endpoint, and arguments. It avoids unnecessary prose, though 'Delete Command.' is somewhat redundant with the tool name and endpoint.

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 one-parameter delete endpoint, the description is minimally viable: the path and parameter are present, and the output schema plus annotations cover response and safety. However, it lacks any usage context or indication of what happens when a command is deleted, so it is not complete on its own.

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 0% schema coverage, the description must carry parameter meaning. It only identifies 'id' as a path parameter, which adds location but not what the ID represents or its constraints. The endpoint and tool name imply it is the command ID, but the description itself does not state this.

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 the verb and resource directly ('Delete Command') and the HTTP endpoint DELETE /api/v3/command/{id} makes the operation unambiguous. It is distinguishable from sibling tools like get_command_by_id, list_command, and create_command, though it does not provide extra clarification about the command lifecycle.

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 about when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or situations where a different tool should be used. The agent must infer from the name that this is for deleting a command by ID.

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

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

Annotations already declare destructiveHint=true and idempotentHint=true, and the description aligns by stating 'Delete'. However, it adds no additional behavioral context, such as permanence, irreversibility, or any side effects beyond the basic action. It does not contradict annotations but fails to enrich the safety profile.

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

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

The description is very short and efficiently structured: a single sentence, the HTTP endpoint, and an Args section. It is easy to parse, but the brevity is partly because it omits important information. It is appropriately sized for what it conveys, but could be more informative without losing 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?

Given the destructive nature of the tool and the presence of an output schema, the description is incomplete. It does not mention that the operation is permanent or irreversible, nor does it specify any error conditions (e.g., if the id does not exist). Even with annotations covering destructiveHint, the description should add context like 'This will permanently remove the filter.' The output schema exists, so return values are not needed, but overall the description is too minimal for a destructive 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 description must compensate. It only says 'id: Path parameter', which adds the trivial fact that it is a path parameter but does not explain that the id identifies the custom filter to delete. This is insufficient semantic meaning for an agent to correctly interpret the parameter.

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

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

The description clearly states the action ('Delete') and the resource ('CustomFilter'), and includes the HTTP method and path, which distinguishes it from other delete tools for different resources. It is specific and not a 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?

The description gives no guidance on when to use this tool versus alternatives (e.g., get_customfilter_by_id, update_customfilter_by_id, or other delete_by_id tools). It does not mention prerequisites, exclusions, or conditions under which deletion should be performed.

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 agent knows it is destructive. The description adds no additional behavioral context such as cascade effects, atomicity, or confirmation requirements. The only extra information is a pointer to read the GET or /schema endpoint for body fields, which is more about parameters than behavior.

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

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

The description is very short and to the point, with the core action stated first and the endpoint immediately following. The parameter note is concise and front-loaded with the most important instruction. There is no redundant text or 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?

For a destructive bulk operation, the description lacks essential context such as whether the operation is atomic, what the response contains (though an output schema exists), and when to prefer this over the single-item variant. It provides only the endpoint and a directive to read the schema, which is minimal for an agent to invoke it safely and correctly. The presence of an output schema lowers the need to describe return values, but the missing usage guidance and behavioral notes make it incomplete.

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

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

The schema for 'body' has no description, so the parameter semantics are entirely dependent on the description. The description instructs the agent to 'Read the matching GET or the /schema endpoint first to see the fields this resource expects,' which provides a useful strategy but does not enumerate the fields themselves. This partially compensates for the 0% schema coverage but falls short of fully describing the expected payload.

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 clearly states the verb ('Delete') and resource ('CustomFormat'), and the endpoint '/api/v3/customformat/bulk' clarifies it is a bulk operation. It does not explicitly mention that this is for multiple items vs. single-item deletion, but the name and endpoint make that evident. It is distinguishable from delete_customformat_by_id by the 'bulk' in the name.

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

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

The description provides no guidance on when to use this bulk endpoint versus the single-item delete_customformat_by_id, nor any prerequisites or side effects. It only states the HTTP method and endpoint. There is no explicit 'when to use' or 'alternatives' advice, leaving the agent to infer 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?

The annotations already declare destructiveHint=true and idempotentHint=true, so the destructive nature is covered. The description adds no behavioral context beyond 'Delete' and the HTTP route, such as irreversibility, authorization needs, or cascading effects. No contradiction with 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?

The description is very short and front-loads the core operation. The endpoint and args lines are compact and free of fluff, though the sparse content limits usefulness.

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

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

Given the simple single-parameter delete operation, an output schema, and annotations covering destructiveness and idempotency, the core invocation is decipherable. However, the lack of usage differentiation and parameter meaning leaves gaps in the overall context needed for confident tool selection.

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 0% schema description coverage, the description must compensate, but it only states 'id: Path parameter.' This confirms the id is path-located but does not explain that it identifies the CustomFormat to delete or provide any semantic meaning beyond the schema's integer type.

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 clearly states the action ('Delete') and the resource ('CustomFormat'), and the included endpoint '/api/v3/customformat/{id}' indicates this deletes a single item by ID. It does not explicitly contrast with delete_customformat_bulk, so it is clear but not fully differentiated.

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 like delete_customformat_bulk or update_customformat_by_id. No conditions, prerequisites, or exclusions are provided, so an agent must infer usage from the name alone.

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

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

Annotations already declare destructiveHint=true and idempotentHint=true, so the destructive nature is known. The description adds nothing beyond the word 'Delete' and does not elaborate on consequences, reversibility, or any side effects. It fails to add value beyond the structured 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?

The description is extremely terse, but it is not efficiently concise; it is under-specified. It lacks structure and does not front-load any helpful information beyond the endpoint. A single, well-crafted sentence could convey more while remaining 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?

For a simple delete operation, the description is minimal but incomplete. It does not mention what happens on success or failure, whether the deletion is permanent, or any prerequisites. While annotations cover destructive and idempotent aspects, the description fails to provide the kind of context that would help an agent make a confident decision.

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 description merely repeats 'id: Path parameter', which is already fully specified in the input schema. It does not explain what the ID represents (e.g., the ID of the delay profile to delete) or any constraints. Since schema coverage is effectively zero in the description, it does not compensate for the lack of parameter documentation.

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

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

The description states 'Delete DelayProfile', which clearly identifies the action and resource. However, this essentially restates the tool's name, and it does not distinguish this from the many other delete_* tools. It provides no additional context about the specific behavior beyond the name.

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

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

There is no guidance on when to use this tool versus alternatives. The description gives no context about prerequisites, conditions, or scenarios where this deletion is appropriate or not. It is a bare endpoint description with no usage advice.

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 destructive nature is covered. The description adds no further behavioral details such as what gets deleted, irreversibility, or side effects. The only addition is the endpoint and a generic payload note, which provides minimal extra value beyond the annotations.

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

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

The description is short and front-loaded with the purpose, then the endpoint, then the args. It is efficient with no filler. It is appropriately concise, though it may be too minimal given the complexity of the operation.

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 description lacks critical context: it does not clarify that this is a bulk operation (though the name implies it), does not mention the response format, and provides insufficient guidance on constructing the payload beyond a generic pointer. Given the open schema (additionalProperties true), the agent may not know what to send. It also does not differentiate from delete_downloadclient_by_id, leaving room for confusion.

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

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

The schema has one parameter 'body' with no description (0% coverage). The description advises 'Read the matching GET or the /schema endpoint first to see the fields this resource expects,' which is a useful pointer for discovering the expected structure. However, it does not specify that the payload likely contains an array of IDs or any concrete fields, so the agent still must consult another endpoint to construct a valid request.

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 'Delete DownloadClient.' which is a clear verb+resource pair. However, it does not explicitly mention 'bulk' or differentiate from the sibling delete_downloadclient_by_id, though the name and endpoint include 'bulk'. The purpose is evident but lacks explicit sibling differentiation.

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

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

No guidance is given on when to use this bulk delete versus the single delete or other bulk operations. The description does not mention alternatives, exclusions, or context for when this tool is appropriate, leaving the agent to infer from the name.

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