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Tiberriver256

Azure DevOps MCP Server

search_wiki

Search for content across wiki pages in Azure DevOps projects. Use text queries, project filters, and pagination to find relevant information.

Instructions

Search for content across wiki pages in a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchTextYesThe text to search for in wikis
organizationIdNoThe ID or name of the organization (Default: mycompany)
projectIdNoThe ID or name of the project to search in. If omitted, the search runs across the organization when supported.
filtersNoOptional filters to narrow search results
topNoNumber of results to return (default: 100, max: 1000)
skipNoNumber of results to skip for pagination (default: 0)
includeFacetsNoWhether to include faceting in results (default: true)
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It only states the basic function without disclosing pagination behavior, search semantics (e.g., case sensitivity, fuzzy matching), performance implications, or what happens when searchText is empty.

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?

The description is a single concise sentence, but it lacks essential details for a search tool with 7 parameters. Conciseness is achieved at the expense of completeness, earning a middle score.

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

Completeness2/5

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

Given the complexity (7 params, nested objects, no output schema), the description is too brief. It omits details about result format, filtering behavior, and return value structure, leaving the agent with insufficient context.

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?

Input schema has 100% description coverage, so parameters are already documented. The description does not add additional meaning beyond what the schema provides, so baseline score of 3 is appropriate.

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 states the tool searches for content across wiki pages in a project. The verb 'Search', resource 'content across wiki pages', and scope 'in a project' are specific and distinguish it from siblings like search_code or search_work_items.

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

Usage Guidelines3/5

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

The description implies usage for searching wiki content but provides no explicit guidance on when to use this tool versus alternatives (e.g., get_wiki_page for single page retrieval). No when-not or exclusion criteria are mentioned.

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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