evidence_products
List current evidence API product definitions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
List current evidence API product definitions.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered structurally. The description adds nothing beyond that — it does not mention pagination behavior, the shape of a 'product definition', or whether results are cached/live, despite the presence of a limit parameter.
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?
A single, front-loaded sentence with zero waste. It is appropriately sized for the tool's simplicity, though it could afford one clause of extra context without becoming bloated.
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 no-required-param, read-only list tool with annotations covering safety, the description is barely sufficient, but it omits pagination semantics and what a 'product definition' contains. With no output schema, the agent gets no help understanding the return payload.
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 compensate for the undocumented limit parameter, but it never mentions pagination, defaults, or maximums. The schema conveys bounds (1-50, default 20) but the description adds no meaning on top of them.
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 ('List') and resource ('evidence API product definitions'), so the agent knows it is a read-style enumeration of product metadata. However, it offers no differentiation from similarly named siblings such as evidence_sources, evidence_datasets, or evidence_benchmarks, leaving the agent to infer the distinction from the name alone.
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, no prerequisites, and no mention of alternatives among the many evidence_* siblings. The agent must infer that this is a discovery/introspection call rather than a data-retrieval call.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.