InsightSentry MCP

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

With no annotations provided, the description carries the full burden and successfully discloses the complete return structure (pagination fields, data array shape, field types), which compensates for the missing output schema. However, it omits other behavioral traits like caching duration or data freshness guarantees.

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 information-dense and front-loaded with the return structure, which is valuable. However, the opening 'News feed.' fragment wastes space, and embedding the full JSON return type inline reduces readability compared to separating purpose from return value documentation.

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 lack of output schema, the description adequately compensates by detailing the return structure including pagination metadata and article fields. It covers the tool's functionality well for a 4-parameter read operation, though it could mention pagination behavior or data volume limits.

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 fully documents all 4 parameters (keywords, limit, page, filter). The description mentions 'optional keyword filtering' which aligns with the keywords parameter, but adds no additional semantic context beyond what the schema already provides, warranting the baseline score.

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 retrieves 'latest financial news' (specific verb + resource), distinguishing it from sibling screening and fundamental data tools. However, the prefix 'News feed.' is tautological given the tool name, preventing a perfect score.

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 mentions 'optional keyword filtering' but provides no explicit guidance on when to use this tool versus alternatives like 'search_symbols' or document retrieval tools, nor any prerequisites or rate limit warnings.

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