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search_ideas

Find project ideas by case-insensitive substring match across titles, descriptions, or tags; optionally filter results by project.

Instructions

Search ideas by title, description or tags (case-insensitive substring match).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
projectNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses matching semantics (case-insensitive substring match) and fields searched, which adds real value, but says nothing about read-only safety, result ordering, pagination, or how the optional project filter behaves.

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?

A single sentence, front-loaded with the key information, and no wasted words. Appropriate for a simple search tool.

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?

The output schema covers return values, so the description needn't explain them. However, it omits explanation of the 'project' filter and any when-to-use guidance, leaving gaps for a tool with two parameters and no annotations.

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 description coverage is 0%, so the description must compensate. It implicitly explains the query parameter (matched against title, description, tags) but completely ignores the optional 'project' parameter, leaving half the parameters undocumented.

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?

The description states a clear verb ('Search') and resource ('ideas') plus the fields matched (title, description, tags). It does not distinguish itself from the sibling 'list_ideas', so it stops short of a 5.

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

Usage Guidelines2/5

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 mention of alternatives like list_ideas, and no prerequisites. The verb 'Search' only vaguely implies usage.

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