get_profile_comments

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Returns cleaned data in TOON format,' which adds some context about output formatting, but fails to address critical behavioral aspects like whether this is a read-only operation, authentication requirements, rate limits, pagination behavior beyond the schema, or what 'cleaned data' entails.

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 with just one sentence that efficiently states the core purpose and output format. It's front-loaded with the main action and resource, with no wasted words 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 the tool's complexity (7 parameters, no output schema, no annotations), the description is inadequate. It doesn't explain the relationship between 'profile' and 'profileId' parameters, doesn't clarify what 'TOON format' means, and provides no context about the tool's behavior, error handling, or typical use cases. The description leaves too many open questions for effective agent use.

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 100%, so the schema already documents all parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema. It mentions 'cleaned data' which relates to output, not input parameters. With high schema coverage, the 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?

The description clearly states the tool's purpose: 'Get comments made by a LinkedIn profile.' It specifies the resource (LinkedIn profile comments) and the action (get/retrieve). However, it doesn't explicitly differentiate from sibling tools like 'get_post_comments' or 'get_profile_posts,' which would require more specific scope clarification.

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. With sibling tools like 'get_post_comments' and 'get_profile_posts' available, there's no indication of whether this tool is for profile-specific comments, how it differs from post comments, or any prerequisites for use.

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