portkey-admin-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 tool retrieves analytics as time-series data but fails to describe critical behaviors such as authentication requirements, rate limits, data freshness, pagination, or error handling. This leaves significant gaps for a tool with 21 parameters.

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 without unnecessary details. It uses precise terminology ('time-series data', 'percentage of failed requests over time') and avoids redundancy.

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 complex analytics tool with 21 parameters, no annotations, and no output schema, the description is insufficient. It lacks details on output format, data aggregation, time granularity, and behavioral constraints, leaving the agent under-informed about how to interpret or use the results 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 schema description coverage is 100%, so the schema already documents all 21 parameters thoroughly. The description adds no additional parameter semantics beyond implying time-series filtering, which is covered by the required time parameters in the schema. This meets the baseline for high schema 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 action ('Retrieve') and resource ('error rate analytics'), specifying it returns 'time-series data' showing 'percentage of failed requests over time'. This distinguishes it from general error analytics tools by focusing on rate metrics over time, though it doesn't explicitly differentiate from sibling tools like 'get_error_analytics'.

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 guidance is provided on when to use this tool versus alternatives like 'get_error_analytics' or other analytics tools in the sibling list. The description implies usage for time-series error rate data but lacks explicit context, prerequisites, or exclusions.

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