Text Analysis

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It lists the operations but does not state whether the tool is read-only, what side effects it has, or any rate limits. The behavioral transparency is minimal.

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, consisting of two sentences with no redundant information. It is front-loaded with the tool's purpose and lists operations briefly. However, the structure could be improved by separating usage guidance.

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, annotations, and the presence of a closely related sibling tool, the description is insufficiently complete. It fails to explain return values, prerequisites, or when to use this tool instead of 'word_count'. The description covers only the basic purpose.

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 0%, so the description must add meaning. It mentions the operations in prose, which aligns with the 'operation' enum, but adds no additional context about the 'text' parameter or any constraints beyond what the schema provides (e.g., max length is not mentioned). The description adds marginal value.

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 ('Analyze text with various operations') and lists the available operations, which provides a specific verb+resource combination. However, it does not differentiate from the sibling tool 'word_count', which likely performs the same operation, missing an opportunity to clarify when to use this tool over the alternative.

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 offers no explicit guidance on when to use this tool versus alternatives. It merely states it is 'useful for processing and understanding text content,' which is too generic and fails to address exclusion criteria or when to prefer a sibling tool like 'word_count'.

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