The comparison table
compare_tableEach option's value on every criterion of the Hindi AI training listings with an accepted rate comparison — the full table.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| option | No | one option's name, else all |
compare_tableEach option's value on every criterion of the Hindi AI training listings with an accepted rate comparison — the full table.
| Name | Required | Description | Default |
|---|---|---|---|
| option | No | one option's name, else all |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full disclosure burden, but it does not state whether the operation is read-only, what permissions are needed, or what the response looks like. The phrase "accepted rate comparison" is undefined and adds ambiguity rather than behavioral clarity.
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 a single sentence, so it is brief, but it is awkwardly structured and contains unclear wording such as "with an accepted rate comparison". It is concise without being well front-loaded or informative.
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?
The tool is simple — one optional parameter and no nested objects — but there is no output schema, and the description does not adequately explain return values or usage context. Given the absence of annotations and sibling tools, the definition should do more to make the tool callable with confidence.
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 coverage is 100%, and the single optional "option" parameter is fully documented in the input schema as "one option's name, else all". The description does not add meaning beyond that, but the baseline of 3 is appropriate when the schema already handles parameter semantics.
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 is a noun phrase — "Each option's value on every criterion... the full table" — rather than a clear verb+resource statement. It hints at a comparison-table output but does not explicitly distinguish the tool from siblings compare_criteria and compare_options.
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 explicit when-to-use guidance and no mention of the sibling comparison tools. "The full table" weakly implies a complete comparison view, but the agent is left to infer when this tool should be chosen over compare_criteria or compare_options.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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