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Use this when the user wants to find anything the board remembers by keyword — tasks, sprints, recorded decisions or memory notes (e.g. 'find tasks about onboarding', 'why did we choose Neon'). Case-insensitive substring match across task titles and descriptions, sprint names and goals, decision titles and outcomes, and memory note content. Returns a ranked list of {id, title, url} suitable for citations, where id is prefixed by kind (task:, sprint:, decision:, memory:); at most 50 matches, narrow the query if truncated. Also how to find the open task that matches work the user is doing with you, so it can be claimed with start_task or closed with complete_task.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "search"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYesFree-text query, matched case-insensitively

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / $schema
      Removed value: -"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  3. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Goes well beyond the readOnly/non-destructive annotations by disclosing the matching rule (case-insensitive substring), the result shape {id, title, url}, the kind-prefixed id convention, and a hard 50-match cap with guidance to narrow the query. It doesn't mention ranking criteria or truncation signal details, which keeps it from 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.

Conciseness4/5

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

Front-loaded with the trigger and examples, then matching semantics, then return format and limits — good ordering with no filler. The final sentence about the 'open task that matches work the user is doing with you' is grammatically tangled and slightly bloats an otherwise tight definition.

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

Completeness5/5

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

With no output schema, the description fully compensates by describing the returned fields, id prefixes, ordering, and the result cap. Nothing an agent needs in order to call this correctly or interpret the response is missing.

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

Parameters4/5

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

Schema coverage is 100% and there is only one parameter, so baseline is high; the description still adds real value by explaining what the query string is matched against (titles, descriptions, sprint names/goals, decision outcomes, note content) and that matching is substring rather than semantic.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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

States a specific verb (search) over a specific resource (board items: tasks, sprints, decisions, memory notes) and enumerates the covered kinds, which clearly distinguishes it from siblings like list_tasks or get_board_state. Concrete example queries anchor the intent.

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

Usage Guidelines5/5

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

Opens with an explicit trigger ('Use this when the user wants to find anything the board remembers by keyword') and gives two sample intents. It also routes onward to start_task / complete_task for the claim-work flow, so the agent knows what to do before and after.

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

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