Capterra product
run_capterra_productGet full Capterra product details by id or URL: vendor, pricing, ratings, and features. Flat 5 points per successful run.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| product | Yes | Product id or URL. e.g. 176586 |
run_capterra_productGet full Capterra product details by id or URL: vendor, pricing, ratings, and features. Flat 5 points per successful run.
| Name | Required | Description | Default |
|---|---|---|---|
| product | Yes | Product id or URL. e.g. 176586 |
Changes observed during successful MCP inspections.
Input schema / properties / product / descriptionPrevious value: -"Capterra product ID or product URL, e.g. 176586."New value: +"Product id or URL. e.g. 176586"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden. It usefully discloses the cost model ('Flat 5 points per successful run'), which is real behavioral context, but says nothing about auth requirements, rate limits, failure/empty-result behavior, or whether a failed run is charged.
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?
Two compact sentences, front-loaded with the action and resource, followed by the cost note. Every clause earns its place with no filler.
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 single-parameter lookup with no output schema, the description compensates by enumerating the returned fields and stating the cost. Only minor gaps remain (error handling, whether reviews/alternatives require other tools), so it is nearly complete.
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 100% and the single 'product' parameter is already documented in the schema with the same 'id or URL' wording and an example. The description adds no format, validation, or fallback guidance beyond that, so baseline 3 applies.
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?
States a specific verb and resource ('Get full Capterra product details by id or URL') and enumerates the returned data (vendor, pricing, ratings, features). It implicitly separates itself from run_capterra_products_search by requiring an id/URL, but never names a sibling, so it stops short of a 5.
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?
Use is implied by the 'by id or URL' phrasing — an agent can infer it is the direct-lookup counterpart to the search tools — but there is no explicit when-to-use, no prerequisite (e.g. where to obtain a product id), and no named alternative.
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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