atlas-social-mcp

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the output format ('daily topics, hooks, optimal posting times, and platform recommendations') but lacks details on permissions, rate limits, data sources, or potential side effects. For a generative tool with no annotation coverage, this leaves significant gaps in understanding its 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?

The description is a single, efficient sentence that front-loads the core purpose and output details. It avoids redundancy and wastes no words, though it could be slightly more structured by separating purpose from output specifications.

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 (generative with 5 parameters) and lack of annotations and output schema, the description is moderately complete. It covers the purpose and output format but misses behavioral context and usage guidelines. For a tool without structured output documentation, more detail on return values would be beneficial.

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 5 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, such as examples or usage tips. Baseline 3 is appropriate when the schema handles all parameter documentation.

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 ('generate a complete 30-day social media content calendar') and resources ('daily topics, hooks, optimal posting times, and platform recommendations'). It distinguishes itself from sibling tools like get_analytics, get_recent_posts, and schedule_post by focusing on comprehensive calendar generation rather than analytics retrieval, post listing, or scheduling 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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, ideal scenarios, or exclusions, nor does it reference sibling tools like schedule_post or post_now for comparison. The agent must infer usage from the purpose alone without explicit context.

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