analyze_my_content_performance

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

No annotations are provided, so the description carries full burden. It states the tool 'Returns detailed performance analysis' but doesn't disclose behavioral traits like whether it's read-only (implied but not explicit), requires authentication, has rate limits, or how it handles errors. For a tool with no annotation coverage, this leaves significant gaps in understanding its operational 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?

Well-structured with a clear opening statement, bullet-point-like listing of analysis areas, and separate Args and Returns sections. The description is appropriately sized for a single-parameter tool, though the opening sentence 'Analyze your content performance comprehensively.' could be more specific to avoid slight redundancy with 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?

Given one parameter with good semantic coverage in the description, an output schema exists (so return values don't need explanation), and no complex behavioral requirements, the description is reasonably complete. The main gap is lack of guidance on when to use versus sibling tools, but for the tool's core functionality, it provides adequate 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 description coverage is 0%, but the description compensates well by explaining the single parameter 'post_limit' in the Args section: 'Number of posts to analyze (default: 30, max: 50)'. This adds crucial semantics beyond the bare schema, providing default value and maximum constraint. Since there's only one parameter, this is nearly complete coverage.

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: 'Analyze your content performance comprehensively' with specific analysis areas (posting patterns, engagement metrics, content types, posting times). It distinguishes from some siblings like 'analyze_engagement' or 'analyze_optimal_posting_times' by being more comprehensive, though the distinction from 'analyze_content_performance' (nearly identical name) is unclear.

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. The description mentions comprehensive analysis but doesn't specify when to choose it over more focused siblings like 'analyze_engagement', 'analyze_optimal_posting_times', or 'get_my_post_analytics'. The agent must infer usage from the tool name and description alone.

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