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

No annotations are provided, so the description carries the full burden. It discloses that it computes per-character Shannon entropy and may flag secrets/keys, but it does not explain how flagging works, what threshold is used, or what the output shape/conventions are.

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 extremely compact and front-loaded, with the concept first and the intended use after the dash. Every word earns its place; there is no filler or redundant restating of the title.

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 one-parameter calculation tool, the description is still incomplete: it does not define the meaning of 'q', does not disambiguate from sibling entropy tools, and does not clarify how 'flags' is operationalized. The presence of an output schema reduces the need to describe return values, but critical invocation details remain missing.

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% and the sole parameter 'q' is cryptic. The description indirectly implies the input is text via 'Per-char entropy', but it never explicitly explains that 'q' is the string to analyze, leaving room for ambiguity.

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 names the computation (Shannon per-char entropy) and the intended purpose ('flags secrets/keys'), so an agent can tell this is a text-entropy analysis tool. It is more specific than the bare title 'Entropy', though it does not explicitly distinguish itself from nearby siblings.

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?

There is no guidance about when to choose this tool over entropy-related siblings such as passentropy, pwstrength, or stringmetrics. The phrase 'flags secrets/keys' implies a detection use case, but no alternatives or exclusions are mentioned.

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