Skip to main content
Glama

Work waiting for approval

list_pending_approvals
Read-only

List the work your AI teammates have prepared that is waiting for you to approve or reject: social posts, replies, emails, website changes, articles and content calendars. Each item shows what it says, what approving it would do, its id (for approve_item / reject_item) and a link to open it in NeoMind. Read an item in full with get_item before approving it.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_pending_approvals"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoHow many items to return (1–50, default 20).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly=true, destructive=false and openWorld=false, so the safety profile is covered. The description adds useful behavior beyond that: it describes what each returned record contains (content, the effect of approving, the id, an in-app link) and adds a read-before-approving advisory. It does not mention result ordering or truncation behavior, which keeps it below a 5.

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?

Three tight sentences, front-loaded with the purpose, followed by the return shape and then the usage caveat. The item-type enumeration is slightly long but pays for itself by telling the agent what domain this covers.

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?

There is no output schema, so the description has to convey the return shape, and it does: each item carries its content, the consequence of approving, an id, and a link. For a simple one-parameter read tool this is close to complete; the only omission is any note on ordering or empty-queue behavior.

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?

There is a single optional parameter and the schema already documents it fully (1–50, default 20), so schema coverage is 100%. The description adds no extra meaning about the limit (such as ordering or what happens when the queue exceeds it), so the baseline of 3 applies.

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?

States a specific verb and resource ('list the work... waiting for you to approve or reject') and enumerates the concrete item types (social posts, replies, emails, website changes, articles, content calendars). This clearly separates it from get_item, approve_item, and reject_item, which operate on a single item rather than enumerating the queue.

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?

Explains the situation that calls for it (seeing what is pending) and explicitly routes the agent to get_item before approving ('Read an item in full with get_item before approving it'), plus names approve_item / reject_item as the consumers of the returned ids. It stops short of stating when not to use it (e.g., browsing already-approved work), so it is strong but not exhaustive.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources