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get_detected_themes

Read-onlyIdempotent

Fetch detected themes from expertise analysis and background research, showing verified findings so experts can correct errors before confirming their themes.

Instructions

Fetch the detected themes derived from the expertise analysis and background research for expert review and confirmation. Shows verified research findings about the expert's work before themes; ask the expert if any findings are wrong or not theirs before asking them to confirm themes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdNoOptional user identifier.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.3.3

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the useful behavioral fact that this surfaces verified research findings ahead of themes, but says nothing about return format or ordering. Baseline for annotation-covered reads is appropriate here.

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

Conciseness3/5

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

Two sentences, but the second is a semicolon-joined run-on mixing a description of returned content with an instruction about confirming themes. The core action is front-loaded adequately, but the second sentence could be split or trimmed.

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

Completeness3/5

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

For a read-only, single-optional-param tool with annotations covering safety and no output schema, the description covers the workflow role adequately. It could say more about what a 'theme' or 'finding' object contains, but the absence of an output schema lowers the burden.

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

Parameters3/5

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

Schema description coverage is 100% and there is a single optional userId param already documented as 'Optional user identifier.' The description adds no syntax or meaning beyond the schema, so the baseline 3 applies.

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 ('Fetch') and resource ('detected themes derived from the expertise analysis and background research') and clarifies the object of the operation. It distinguishes itself from confirm_themes by positioning this as the review step that precedes confirmation, though it doesn't name the sibling explicitly.

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 clear workflow context: use this for expert review, ask the expert whether findings are wrong or not theirs *before* asking them to confirm themes. This sequences it relative to confirm_themes. No explicit 'when-not' exclusion, but the condition that selects it is well conveyed.

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