get_profile

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

With no annotations provided, the description carries the full burden and does well by disclosing behavioral traits: it explains the use of caching ('use_cache'), parallel data aggregation, and enrichment metadata. It could improve by mentioning rate limits or authentication needs, but it covers key operational aspects effectively.

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 well-structured with a purpose statement, implementation details, parameter explanations, and return value summary. It's appropriately sized but could be slightly more concise by integrating the 'Args' and 'Returns' sections more fluidly; however, every sentence adds 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?

Given the tool's complexity (5 parameters, no annotations, but with an output schema), the description is complete: it covers purpose, usage context, parameters, and return values in detail. The output schema exists, so the description needn't explain return values extensively, but it still provides a helpful summary, making it fully 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?

Given 0% schema description coverage, the description fully compensates by detailing all 5 parameters with clear semantics: it explains 'profile_id' as LinkedIn ID or URN, and each boolean parameter's purpose and default values, adding significant meaning beyond the bare 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 tool's purpose with specific verbs ('get comprehensive LinkedIn profile data') and resources ('LinkedIn profile'), distinguishing it from sibling tools like 'get_my_profile' or 'get_profile_contact_info' by emphasizing multi-source enrichment and aggregation from multiple endpoints.

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

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

The description implies usage context by mentioning 'multi-source enrichment' and 'Profile Enrichment Engine,' suggesting it's for comprehensive data retrieval. However, it lacks explicit guidance on when to use this tool versus alternatives like 'batch_get_profiles' or more specific sibling tools, such as 'get_profile_contact_info' for limited data.

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