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

No annotations are provided, so the description carries the full burden. It clearly states the action is a create operation, implies it modifies the profile, and instructs to pass final content, disclosing the expected behavior without hidden 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 two sentences with no unnecessary words, front-loading the primary action and then providing essential drafting instructions, making it efficient and easy to parse.

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 covers the key context: the tool creates a service, requires pre-drafted content, and references other tools for style. Given there is no output schema and the operation is straightforward, it is complete for an agent to use 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?

All parameters have schema descriptions, and the tool description adds contextual guidance on polishing the title/description and using style references, enriching the meaning of the parameters beyond the schema alone.

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

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

The description clearly states the tool creates a new service on the Topmate profile, and distinguishes it from siblings like update_service and delete_service by specifying 'Create a new service' and instructing to use get_profile/list_services for style reference.

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 explicit guidance on when to use the tool: after drafting polished content, and directs the user to prepare title, description, and intake questions first, referencing existing profile/services for style. This makes the intended workflow clear.

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

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

With no annotations provided, the description fully discloses that the operation is destructive and irreversible, and explains the safety precondition for setting confirm=true.

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, direct, and well-structured, with the essential safety caveat included 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?

The description covers the key safety and usage context for a destructive operation. It does not mention output or return behavior, but that is not essential for a simple deletion tool and the core context is complete.

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

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

The schema already provides clear descriptions for serviceId and confirm, so the description adds little beyond restating the confirm requirement. Baseline score of 3 is appropriate.

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

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

Clearly states the action (delete), the resource (service), and the context (Topmate profile), distinguishing it from sibling tools like get_service, create_service, and update_service.

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

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

Provides explicit instructions about the confirm parameter and the required user consent before deletion, which is critical usage guidance. It does not explicitly contrast with alternatives, but the purpose statement makes the intended use clear.

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

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

With no annotations provided, the description must carry the read-only signal. 'Fetch' unambiguously communicates a non-mutating retrieval operation, and the description adds useful behavioral detail by stating it returns the full service list as part of the profile. It does not mention authentication or error behavior, but for a parameterless getter this is acceptable.

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

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

Two sentences carry all the essential information with no filler. The core action and returned data are front-loaded, followed by a single practical usage instruction.

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, no annotations, and no output schema, the description is complete: it names the resource, lists the key returned fields, and explains when to call the tool. An agent has enough context to select and 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?

The tool takes zero parameters, so the baseline of 4 applies. The description does not need to explain parameter semantics, and it instead clarifies what the response will contain, which is the relevant information for this 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 uses a specific verb ('Fetch') and resource ('current Topmate profile'), and explicitly enumerates the returned contents: name, title, bio, and the full list of services. This clearly distinguishes it from mutation tools like update_profile and service-specific tools like get_service.

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 explicit context: call this before drafting a new service so tone and style match the existing profile. It does not name alternatives or exclusions, such as using list_services when only services are needed, but the guidance is clear enough for this simple read tool.

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

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

The word 'Fetch' strongly indicates a read-only operation with no side effects. While no explicit side-effect disclaimer is given, the described behavior is transparent and aligned with a safe retrieval action.

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

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

The description is a single, concise sentence that contains all essential information without unnecessary words or repetition. It is efficiently structured and easy to parse.

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 sufficient for a get-by-ID operation, especially given the sibling tool context. It lacks an output schema, but the phrase 'full details' gives a reasonable expectation; this is a minor gap.

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

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

The only parameter, serviceId, is clearly described as 'The Topmate service ID' and is marked as required. This fully explains its meaning and role in the operation, with no ambiguity.

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 ('Fetch'), the target ('full details for one Topmate service'), and the selection criterion ('by its ID'). This is specific and unambiguous, and it naturally distinguishes this tool from list operations.

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

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

The description implies use when a single service is needed by ID, but it does not explicitly state when to prefer this over list_services or other sibling tools. The guidance is present implicitly but not explicitly articulated.

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

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

No annotations are provided, so the description is the sole source of behavioral information. It does not explicitly state that the operation is read-only, whether authentication is required, or any side effects, though the action 'list' strongly suggests a safe read operation. The disclosure is minimal but not contradictory.

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

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

The description is a single, well-structured sentence that includes the essential information: what the tool does and what it returns. It is concise without sacrificing 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?

The description provides sufficient context for a simple list operation, including the output fields. It does not discuss potential pagination, ordering, or error conditions, but these are not necessarily required for a straightforward list endpoint. Slightly incomplete but 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?

There are zero parameters in the schema, so the schema fully covers all parameters. The description adds no parameter-specific details because none exist, and the baseline for 0 parameters is 4.

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

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

The description clearly states the action (list) and the specific resource (services on the Topmate profile), and enumerates the fields returned (IDs, titles, descriptions, pricing, intake questions). This makes it unambiguous and distinct from sibling tools like get_service or update_service.

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

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

The description implies that this tool is used when one wants to retrieve all services, but it does not explicitly contrast it with alternatives such as get_service for a single service or mention when not to use it. The guidance is implicit 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?

The description discloses the partial-update behavior (omitted fields are left as-is), which is important. With no annotations provided, the description carries the full burden; it is accurate and not misleading, though it doesn't mention return values 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?

Two concise sentences, front-loaded with verb and object, and no filler. The structure is efficient and easy to parse.

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 absence of an output schema and the simplicity of the operation, the description covers everything an agent needs: what to update, how to handle partial updates, and content expectations. No gaps remain.

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 descriptions already clarify each parameter ('title' and 'description'). The tool description adds context by indicating that parameters are optional and for partial updates, which slightly enhances clarity beyond the schema.

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

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

The description clearly states the action ('Update') and the target resource ('creator's Topmate profile title (tagline) and/or bio'). It is distinct from sibling tools like update_questions, which target a different 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?

Provides explicit guidance on partial updates ('Only pass the fields that should change — omitted fields are left as-is') and content quality ('Pass final, polished content, not rough notes'). This is actionable and clear.

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 explicitly says 'Replace', which clearly indicates a destructive overwrite of the existing question list. It also notes that the 'questions' parameter is the 'full new list', making the behavioral impact clear. However, it does not mention return values or side effects, but given the lack of annotations, the core behavior is transparent.

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

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

The description is a single, concise sentence with no redundant or extraneous information. It is well-structured and front-loaded with the action verb.

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 simplicity of the tool and the absence of an output schema, the description provides all necessary context. It clearly identifies the resource (service) and the exact operation (replace questions), making it complete for an agent to invoke 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?

Both parameters have clear descriptions: 'serviceId' as 'The Topmate service ID' and 'questions' as 'The full new list of intake questions'. The parameter descriptions fully cover their meaning and usage.

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 ('Replace'), the object ('intake questions'), and the scope ('of a specific Topmate service'). It is unambiguous and distinguishes this tool from others like update_service.

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 explicit guidance on when to use this tool versus alternatives (e.g., update_service). The description does not mention conditions or scenarios that would lead an agent to select this tool.

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

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

With no annotations provided, the description carries the transparency burden. It does disclose that omitted fields are left unchanged and that content should be final/polished, but it does not mention side effects, validation behavior, permissions, or whether the updated service is returned.

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

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

The description is concise and well-structured: two sentences cover the core purpose, partial-update semantics, and content quality expectations without unnecessary fluff.

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 sufficient for a simple update operation and no output schema is expected, but it does not address the relationship with sibling tools like update_questions or provide additional context about parameter constraints. Some operational 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 description coverage is only 33%, and the description does not compensate by explaining key parameters like price, title, description, or durationMinutes. It only reiterates the partial-update behavior, leaving agents to infer meaning from property names.

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 ('Update') and the resource ('an existing Topmate service'), distinguishing it from create/delete tools and from update_profile. The partial-update note reinforces that this is a targeted update tool.

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 useful usage guidance about partial updates and requiring polished content, but it does not explicitly state when to prefer this tool over siblings like update_questions or create_service. The intended usage is somewhat implied rather than explicitly contrasted with alternatives.

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