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search_pages

Read-only

Search pages in a Plane project by matching a case-insensitive substring in the title or, optionally, in the page content.

Instructions

Search pages by title (and optionally content) with a simple case-insensitive substring match.

Plane has no server-side page search API, so this filters the page list client-side. With search_content=true each candidate page's content is fetched individually (capped at 30 pages) - slower but matches body text.

Args: query: Text to look for (case-insensitive substring). project_id: UUID of the project. Omit to search workspace pages (workspace pages are unavailable on Community Edition). search_content: Also search inside page content, not just titles. max_results: Maximum number of matches to return (default 20).

Returns: List of matches: id, name, project_id, match_field ("name" or "content") and a snippet of the surrounding text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
project_idNo
max_resultsNo
search_contentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Adds significant behavioral context beyond annotations: explains no server-side API, client-side filtering, performance implications of search_content, and the 30-page cap. No contradiction with readOnlyHint and openWorldHint.

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?

Well-structured with clear sections (description, args, returns). Every sentence is informative and concise. No redundant or vague phrasing.

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?

Provides all necessary context: purpose, limitations, input semantics, output format, and edge cases (Community Edition). The return format is described in detail, complementing the output schema.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining each parameter's semantics, including the special case for project_id (workspace pages vs. Community Edition). Adds meaning beyond the raw schema.

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?

The description clearly states the tool searches pages by title (and optionally content) with a case-insensitive substring match. It distinguishes from sibling tools like 'list_pages' and 'search_work_items' by specifying the exact resource and operation.

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?

Provides clear context on when to use: for searching pages by title/content. Notes the client-side limitation and the cap on content search, but does not explicitly mention alternatives (e.g., using 'list_pages' for a full list).

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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