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

With no annotations present, the description carries the behavioral disclosure burden. Adding 'Query discarded' does communicate non-retention, which is useful. However, it says nothing about side effects, read-only behavior, or what happens with the related schema fields, so the transparency is only partial.

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 short and front-loaded, with the core action stated first and the discard behavior in a compact second sentence. There is no filler or redundant wording.

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 seven parameters, no annotations, and no output schema, the description is under-specified. It does not clarify which parameter to count, what the return value is, or how this tool fits into a larger workflow, leaving important context for an agent to guess.

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 input schema provides 100% parameter descriptions, so the baseline is 3. The tool description adds no parameter-level meaning beyond the schema, and it fails to explain which parameter corresponds to the 'search query' mentioned in the description.

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 states a clear operation, 'Count characters in a search query', but 'search query' does not map to any property in the input schema. The schema lists ref, url, city, feed, host, json, and path, so it is ambiguous which value is the query to be counted. It also does not differentiate the tool from similar shape/validation 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 use this tool versus alternatives such as validate-json, domain-shape, or memory-key-count. The description gives no contextual conditions or exclusions, leaving tool selection to inference.

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