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MarlBurroW

TeamSpeak MCP

by MarlBurroW

search_clients

Find TeamSpeak users by name or unique identifier to manage client connections and perform server administration tasks.

Instructions

Search for clients by name pattern or unique identifier

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternYesSearch pattern for client name or UID
search_by_uidNoSearch by unique identifier instead of name (default: false)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the search functionality but doesn't describe what happens when no matches are found, whether results are paginated, what format results take, or any rate limits or authentication requirements. For a search tool with zero annotation coverage, this leaves significant behavioral gaps.

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?

The description is a single, efficient sentence that communicates the core functionality without any wasted words. It's appropriately sized for a simple search tool and gets straight to the point with no unnecessary elaboration.

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?

For a search tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what the tool returns, how results are structured, whether there are limitations on search patterns, or how this differs from related tools. The agent would need to guess about important behavioral aspects.

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 description coverage is 100%, so the schema already fully documents both parameters. The description adds minimal value beyond what's in the schema - it mentions 'name pattern or unique identifier' which aligns with the schema's parameter descriptions but doesn't provide additional context about pattern syntax, UID format, or search behavior differences.

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 clearly states the verb ('search') and resource ('clients') with specific search criteria ('by name pattern or unique identifier'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_clients' or 'client_info_detailed', which could offer alternative ways to retrieve client information.

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?

The description provides no guidance on when to use this tool versus alternatives like 'list_clients' or 'client_info_detailed'. It doesn't mention prerequisites, performance considerations, or any 'when-not-to-use' scenarios, leaving the agent to infer usage context from the tool name alone.

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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