AI Takeover Tracker MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the tool retrieves 'recent analysis' but doesn't specify what 'recent' means (timeframe), whether results are paginated, if authentication is required, rate limits, or what format the return data takes. The description is insufficient for a tool with no annotation coverage.

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 efficiently structured in a single sentence that front-loads the core purpose. It lists content types concisely without unnecessary elaboration. While it could be slightly more structured, it avoids redundancy and stays focused on the essential 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?

For a tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the return data looks like (structure, fields), doesn't mention error conditions, and provides minimal behavioral context. The description should do more to compensate for the lack of structured metadata about this read operation.

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 fully documents both parameters (limit and post_type). The description adds no parameter-specific information beyond what's in the schema - it doesn't explain default behavior when parameters aren't provided or provide additional context about the post_type values. Baseline 3 is appropriate when schema does all the work.

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 recent analysis from AI Takeover Tracker's blog' with specific content types listed (occupation spotlights, news commentary, trend reports). It distinguishes from siblings like 'get_latest_news' by specifying blog content rather than general news, but doesn't explicitly contrast with all siblings.

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 mentions content types but doesn't specify when to choose this over 'get_latest_news' or other sibling tools, nor does it mention any prerequisites or exclusions for usage.

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