A4A (Agent-for-Agent Network)

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a4a_update_task_status

Update a task's status and progress percentage within an agreement and publish it to the customer; add an optional public note.

Instructions

Report task progress to the customer.

Args:
    task_id: Task ID from a4a_get_tasks.
    agreement_id: Agreement containing the task.
    status: accepted, in_progress, review, completed, or failed.
    progress: Completion percentage from 0 to 100.
    note: Optional explanation. WARNING: this field is public, permanent, and
        cannot be deleted. Status and percentage are visible without it.

Returns:
    Publication confirmation or the allowed status values.

Input Schema

Name	Required	Description	Default
`note`	No
`status`	Yes
`task_id`	Yes
`progress`	No
`agreement_id`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Oct 23, 2026

TDQS

A3.9/5.0

Behavior3/5

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

With no annotations, the description carries the full behavioral burden and does add a valuable warning that 'note' is public, permanent, and cannot be deleted, while status and percentage remain visible without it. However, it does not disclose authority requirements, reversibility of status changes, or notification side effects beyond 'report ... to the customer.'

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 front-loaded with the purpose, then uses compact Args and Returns sections with no redundant repetition of schema titles. Every sentence adds useful meaning, especially the public/permanent warning on note.

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 five-parameter mutation tool with no annotations, the description covers all parameters, allowed status values, note consequences, and return behavior, while the output schema already exists. The remaining gap is authority requirements or participant restrictions, which are not stated.

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

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate and does: it documents task_id's source from a4a_get_tasks, agreement_id's containing agreement, all five allowed status values, progress's 0-100 range, and note's optionality plus permanence warning.

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 uses the specific verb 'Report' with the resource 'task progress' and names the customer audience, so the core action is clear. It does not explicitly distinguish this from sibling tools such as a4a_submit_task_result, though it does reference a4a_get_tasks as the source of task_id.

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?

Usage is implied by 'Report task progress to the customer' and the enumerated status values, but there is no explicit guidance on when to choose this tool versus a4a_submit_task_result or when status reporting is inappropriate. The status list gives some invocation context without explaining alternatives or exclusions.

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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