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start_search

Initiate a literature search using an approved question, creating a new run in the project. If the search is still running, resume it with resume_search.

Instructions

Search the literature databases with an approved question; creates a run in the project. If search_status is 'running', call resume_search(run_id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNoProject name from list_projects; may be omitted when only one project exists
question_idYesFrom validate_question, after the researcher approved it
wait_secondsNo
limit_per_sourceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=false and openWorldHint=true, so the write/external nature is known; the description reinforces this by stating it creates a run. It also discloses the running-state behavior that triggers resume_search rather than a second start_search, which is genuine context beyond the annotations. It doesn't say what happens on re-invocation or failure, so not a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tightly written sentences, front-loaded with the core action and side effect, with the conditional follow-up second. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation, and the mutation/routing behavior is covered. The only shortfall is the undocumented wait_seconds and limit_per_source, which leaves an agent guessing on latency and result volume.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50%: project and question_id are documented, but wait_seconds and limit_per_source have no description anywhere. The description only hints at the 'approved question' notion and says nothing about the wait/limit tuning knobs, 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (search) and resource (literature databases) and adds the important side effect that it creates a run in the project. It does not name sibling boundaries beyond resume_search, but an agent can distinguish it from list_articles/fetch_articles. Clear but not fully differentiated from the broader sibling set.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a precondition (an approved question) and an explicit alternative path: when search_status is 'running', call resume_search(run_id) instead. That is concrete when-to-use guidance, though it lacks explicit when-not-to-use conditions or rate/cost caveats.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.