evidence_get_research
Read one owner-scoped research job status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| jobId | Yes |
Read one owner-scoped research job status.
| Name | Required | Description | Default |
|---|---|---|---|
| jobId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is fully covered. The only added value is the 'owner-scoped' qualifier, which signals that only the caller's own jobs are returned. No pagination, error behavior, or status semantics are disclosed.
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 filler; the purpose and scope lead. It is terse to the point of being under-specified, but there is no wasted structure.
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?
No output schema exists, so the description is responsible for describing the returned status, but it does not (status values, lifecycle states, whether artifacts are included). For a one-parameter read tool with strong annotations the minimum is met, but the return-value semantics remain a real gap.
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 single required parameter jobId is undocumented in both schema and description. The description does not say where jobId comes from (presumably evidence_create_research) or its format, so it fails to compensate for the coverage gap.
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 (Read) and resource (research job status) with narrowing scope (one, owner-scoped). It does not explicitly contrast with the nearest sibling evidence_get_research_artifact, so it falls short of a 5, but an agent can tell it retrieves job status from the name/description pair.
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?
No when-to-use guidance, no prerequisites, and no mention of alternatives such as evidence_get_research_artifact for the produced output. The agent must infer the usage context entirely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.