Skip to main content
Glama

awaiting_ack

Read-only

List unresolved proposals requiring your agree, reject, or needs_changes decision.

Instructions

List proposals (kind='proc') addressed to a role (defaults to yours) that still need that role's agree/reject/needs_changes. These are debts just like open_obligations; check both. Not listed: nudges (sent with about_message_id), proposals opened for reading (decision_requested=false), superseded ones, rounds whose declared 'voters' exclude the role, and ones the role has already voted on — unless the body was re-issued since. 'from_role' filters by author (what you are waiting on from others); 'pin_key' narrows to one pin's round. Entries that are also action_required carry 'obligation' ({status, resolved_by, resolved_at, confirmed}) — the work and the decision are closed independently. If an entry's subject no longer exists, answer it with acknowledge(decision='void'). Optional 'fields' projects the response: a list of field names, or the single value 'headers' for the usual listing set (everything except the bodies). Omit it and the full record comes back. Use it when a listing over a long history would otherwise be too large to return — bodies dominate the size, and a 'which messages' question rarely needs them; fetch the ones you want individually afterwards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
fieldsNo
pin_keyNo
to_roleNo
from_roleNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.8/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true, and the description does not contradict that; it describes a read-only listing operation. It adds substantial behavioral context: it explains the default role, exclusions, the 'obligation' field for entries that are also action_required, and the behavior of the 'fields' projection. This goes far beyond the annotation and makes the tool's behavior fully transparent.

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 description is long but each sentence serves a purpose. It front-loads the core purpose, then details exclusions, parameter behaviors, and usage advice. It is structured logically, though it could be slightly tighter without losing information. The verbosity is justified by the tool's complexity and the lack of schema coverage.

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?

Given the tool has 5 parameters, no schema description coverage, and an output schema, the description covers everything an agent needs: what the tool does, what it excludes, how each parameter affects results, and when to use it. It even suggests follow-up actions. It is complete enough for correct invocation and result handling.

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 coverage is 0%, so the description must compensate. It explicitly explains 'from_role' (filters by author), 'pin_key' (narrows to one pin's round), and 'fields' (list of names or 'headers' for a smaller response). It implies 'to_role' via 'addressed to a role (defaults to yours)' but does not name it directly. It omits any description of the 'limit' parameter, which is a minor gap given its obvious meaning.

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 begins with a specific verb and resource: 'List proposals (kind='proc') addressed to a role' and clearly states the purpose is to retrieve items needing that role's decision. It differentiates from sibling tools like open_obligations by noting it is analogous but distinct, and explicitly lists exclusions (nudges, opened-for-reading, superseded, etc.) that set it apart from other listing tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit when-to-use guidance: it tells the agent to check both this and open_obligations, explains what is not included (superseded, already voted, etc.), and gives conditional advice on handling entries with missing subjects (use acknowledge with decision='void'). It also explains when to use the 'fields' parameter for large listings, which is a direct usage instruction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.