evidence_create_research
Create one bounded source-cited research job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Create one bounded source-cited research job.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the mutation profile (readOnlyHint=false, idempotentHint=false, destructiveHint=false, openWorldHint=false), so the safety bar is covered. The description adds that jobs are 'bounded' and 'source-cited', which is real behavioral context about scope and output grounding, but it omits that this is likely an asynchronous job requiring polling and what the cost/quota implication is.
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?
One front-loaded sentence with no filler; the verb and resource arrive immediately.
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 job-creating mutation with no output schema, the description does not say whether the call returns a job id, whether execution is asynchronous, or how to retrieve the result through the get_research siblings. Key operational context is missing.
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 single 'query' parameter has 0% schema description coverage and the description never mentions it, so neither source explains what the query should contain, its 300-character bound, or how it is interpreted.
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 ('Create') and resource ('research job'), qualified by 'bounded' and 'source-cited'. It implies the contrast with the retrieval siblings (evidence_get_research, evidence_get_research_artifact) but never names them, so an agent must infer the create-vs-fetch split.
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 statement of when to use this tool versus alternatives, no prerequisites, and no mention that results are fetched through evidence_get_research. The agent gets no routing guidance at all.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.