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find_billing_work

Find the projects, tasks and subtasks in your organization where time can be tracked. Pass a name fragment as query to search customer, project, task and subtask names at once: every matching subtask comes back in matches with its full path (customer > project > task > subtask) and its subtask_id. Use this to locate where to record work. Returns ids and names only.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional case-insensitive name fragment. It matches customer, project, task and subtask names: `projects` lists the projects whose own name or customer's name matches, and `matches` lists every subtask whose own name or task's name matches, with its full path and subtask_id. With project_id, it filters that project's tasks and returns that project's matching subtasks in `matches`.
project_idNoOptional project id to drill into. When supplied, returns that project's tasks and subtasks.
max_resultsNoOptional maximum number of rows to return (1-50, default 50).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / query / description
      Previous value: -"Optional case-insensitive name fragment to filter projects (or tasks when project_id is supplied)."New value: +"Optional case-insensitive name fragment. It matches customer, project, task and subtask names: `projects` lists the projects whose own name or customer's name matches, and `matches` lists every subtask whose own name or task's name matches, with its full path and subtask_id. With project_id, it filters that project's tasks and returns that project's matching subtasks in `matches`."
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose meaningful behavior: a name fragment matches across all four entity levels at once, matching subtasks return in `matches` with full path and subtask_id, and the response is limited to ids and names. Auth and rate-limit details are absent, but for a read-only lookup this is solid disclosure of what the call actually does and returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded in the first sentence, followed by query behavior and the recording-work use case. There is mild overlap with the schema's query description, but nothing is wasted at the sentence level.

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?

For a three-parameter read tool with no output schema, the description does the necessary work of explaining the return shape (`matches` with full path and subtask_id, ids and names only). It covers the essentials an agent needs, with only minor gaps around the `projects` result list.

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% and the parameter descriptions are already very detailed (query matching rules, project_id drilling, max_results range). The description's mention of passing a name fragment largely restates the schema, so the baseline 3 is appropriate.

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?

States a specific verb and resource: find the projects, tasks and subtasks where time can be tracked, and it clarifies the multi-level scope (customer > project > task > subtask). This is clear enough to distinguish it from a plain project lister, though it never explicitly names a sibling like list_projects or search to sharpen the boundary.

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?

'Use this to locate where to record work' gives a clear context for invocation, which is more than nothing. However, it offers no when-not guidance and does not point to alternatives (list_projects, search) for the overlapping cases, leaving the agent to infer the routing.

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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