frequency_analysis

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

No annotations are given, so the description must cover behavioral traits. It describes return values but does not state whether the tool is read-only or if it has side effects. For a simple analysis tool, this is adequate but not comprehensive.

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 with only five lines, including structured Args and Returns sections. Every sentence adds value with no fluff.

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 simplicity (one parameter, no nested objects) and the presence of an output schema (context indicates true), the description adequately covers the purpose and return format. It does not detail the output schema, but that is not required per guidelines.

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 only parameter 'text' has schema type 'string' with no description. The description adds 'Text to analyze', which restates the parameter name without further clarification. Schema coverage is 0%, but the parameter is simple and the description provides minimal extra meaning.

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 verb 'perform' and the resource 'letter frequency analysis on text', specifying the action and input. It is distinct from sibling tools like caesar_crack or detect_cipher_type, which focus on different 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?

No guidance is provided on when to use this tool versus alternatives. Among siblings, detect_cipher_type or brute_force_xor may be related, but no exclusions or contexts are mentioned.

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