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Retrieve items across a Taiga project by searching text in issues, stories, tasks, and wiki pages.

Instructions

Search across all content in a Taiga project (issues, user stories, tasks, wiki pages) by text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject numeric ID
queryYesSearch text
Behavior2/5

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

With no annotations provided, the description carries full burden. It fails to disclose key behaviors like case sensitivity, search scope (titles vs full content), result format, pagination, or limits, which are critical for a search tool.

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?

Single sentence, front-loaded with the verb and resource, no wasted words. Efficiently conveys the core action and scope.

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 simple two-parameter tool with no output schema, the description covers the action but omits return value description and behavioral nuances, leaving gaps for effective agent use.

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 coverage is 100%, so parameter descriptions already exist. The description adds context that search is across multiple content types but does not enhance parameter semantics beyond the 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 it searches across all content types (issues, user stories, tasks, wiki pages) by text, distinguishing it from sibling list tools that filter by single entity type.

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?

The description implies usage for cross-content text search, and sibling tools are all for single-entity listing or creation, so context suggests when to use this tool, but no explicit alternatives or when-not guidance.

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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