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clockify_find_user
Read-only

Resolve a person to their Clockify ID from a name or email fragment, so queries like 'what did Anna work on' need no manual ID entry.

Instructions

Resolves a person to their Clockify id from a name or an email fragment, so a request like "what did Anna work on" does not need ids typed by hand.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesPart of a name or email, case-insensitive
workspace_idNoWorkspace id. Falls back to CLOCKIFY_WORKSPACE_ID, then to the account's active workspace.
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the read-only nature is covered. The description adds behavioral context about resolving to an id and gives an example, but does not disclose behavior for ambiguous matches or no matches. This meets the baseline without exceeding it.

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, front-loaded sentence that clearly communicates purpose and use case without extraneous words. It is appropriately sized and structured.

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

Completeness4/5

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

The tool is simple (2 params, no output schema), and the description effectively explains the core purpose and utility. While return value details and edge-case behavior are not explicitly stated, the description is sufficiently complete for a lookup tool with strong annotations and schema coverage.

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 baseline is 3. The description does not add per-parameter details beyond the schema, but the schema already documents both parameters well. No degradation is needed.

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 a specific verb ('resolves') and resource ('person to their Clockify id'), and clarifies the input ('name or an email fragment'). It distinguishes the tool from siblings like clockify_find_project by focusing on person resolution and includes a concrete use-case example.

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 provides clear context for when to use the tool: when a name or email fragment needs to be mapped to an id, such as for querying time entries. It does not explicitly mention alternatives or exclusions, but the intended usage is evident.

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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