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Workforce: Report

workforce_report

Submit the results of a workforce packet. Required: task_id (from the packet) and summary (plain-language account of what was done and found). Optional: findings (structured detail), proposal_ids (anything staged during the packet — these route to the dashboard approval queue), messages (notes to other departments: {to_dept, type, severity, body, scope}).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
summaryYesShort plain-language account of the work.
task_idYesThe packet's task_id.
findingsNoStructured detail backing the summary.
messagesNoCross-department notes: {to_dept, type, severity, body, scope}.
proposal_idsNoStaged-change ids created in this packet.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark this as non-read-only and non-destructive. The description adds valuable side-effect context: proposal_ids route to the dashboard approval queue and messages are cross-department notes. It does not discuss idempotency or overwrite behavior, but this is a reasonable level of disclosure for a submit action.

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?

Three sentences with clear structure: purpose first, then required fields, then optional fields. Every sentence carries useful information and there is no filler or redundancy.

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

Completeness5/5

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

All five parameters are covered, required versus optional is explicit, and the main side effects are documented. No output schema exists, but for a submission tool the absence of a documented return value is not a significant gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 adds modest value by tying task_id provenance to the packet and explaining that proposal_ids route to the approval queue, which is not in the schema. It also reinforces the message object structure, though the schema already includes it.

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 ('Submit') and resource ('the results of a workforce packet'), making the tool's purpose immediately clear. It also differentiates from sibling tools like workforce_check_in and workforce_status by framing this as the terminal report-submission action.

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 gives clear usage context: submit after completing a workforce packet, using the packet's task_id and a plain-language summary. It does not explicitly name alternatives or exclusions, but the required-field framing and packet-based flow are enough to guide an agent in most cases.

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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