linkedin_analyze_profile_from_data

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 only states 'analyze' and 'provide recommendations', which implies a read-like operation, but does not disclose whether this modifies data, requires authentication, or how recommendations are structured. Minimal behavioral context.

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

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

The description is a single sentence with no wasted words. It is front-loaded with the action and outcome, achieving conciseness 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?

Given 6 parameters (one required) and no output schema, the description is too brief. It does not explain the type of analysis, the nature of recommendations, or any limitations. The agent lacks sufficient context to use the tool effectively.

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 fully describes all 6 parameters (100% coverage), so the description adds no extra meaning beyond the schema. Baseline is 3; the description does not provide additional context on how parameters influence analysis.

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 ('Analyze LinkedIn profile data') and the outcome ('provide optimization recommendations'), indicating the verb and resource. However, it does not differentiate from sibling tools like 'linkedin_generate_optimized_content', which may also involve profile analysis.

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, no prerequisites, and no context for appropriate use. The agent is left without information on when to choose this over other LinkedIn tools.

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