Skip to main content
Glama

list_client_requests

What the firm is waiting on from clients (documents, answers, decisions), and how long each has been open.

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_client_requests"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It does disclose that results include an age/duration per item and the kinds of items returned, which is useful beyond the (empty) schema. It does not state that it is read-only, whether results are firm-wide or scoped to the caller, ordering, or volume — meaningful gaps for a zero-annotation tool.

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?

A single compact sentence with no filler, and the core scoping information ('from clients', the item types) is front-loaded. It is a noun phrase rather than a verb-led statement, which slightly softens the action framing.

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

Completeness3/5

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

For a simple zero-parameter list tool with no output schema, the description conveys enough to know what comes back (pending client items with age). Missing pieces relative to the sibling set are scope (firm-wide vs. mine) and how it differs from the similarly framed what_needs_me.

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?

The tool takes zero parameters, so there is no parameter meaning to add; baseline 4 applies. Nothing in the description muddies the empty input contract.

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 resource (outstanding client requests) and explicitly enumerates its scope: documents, answers, decisions, plus how long each has been open. This distinguishes it from internally-focused siblings like list_approvals and list_deliverables, though the description never names an alternative to differentiate from what_needs_me.

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 only implied by the phrase 'what the firm is waiting on from clients' — an agent can infer this is the tool for chasing outstanding client items, but there is no explicit when-to-use, when-not-to-use, or pointer to an alternative such as what_needs_me or list_approvals.

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