analyze_feature_requests

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

The description lacks behavioral details beyond the basic action. There are no annotations to indicate read-only or destructive nature, and the description does not specify whether the tool modifies data, requires permissions, or has rate limits. The minimal description fails to compensate for the absence of annotations.

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 concise at one sentence, but it sacrifices informativeness. It is front-loaded with the core action but lacks structure and additional detail, making it merely adequate rather than well-crafted.

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 complexity of two parameters (including a nested object), no output schema, and a large set of sibling tools, the description is severely incomplete. It does not explain input format, expected output, or how this tool fits into the broader toolset, providing minimal context for correct usage.

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?

With 0% schema description coverage and no parameter information in the description, the parameters are entirely opaque. The description does not mention the date_range or limit parameters, nor their meanings or usage, leaving the agent without guidance on how to correctly invoke the tool.

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 'Extract and analyze feature request frequency' clearly states the tool's function: extracting and analyzing the frequency of feature requests. It distinguishes from siblings like 'analyze_sentiment_shifts' by its specific focus on feature requests, though it could be more explicit about the resource type.

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. Among many sibling tools, there is no mention of context, prerequisites, or when this tool is preferred, leaving the agent to infer usage independently.

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