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List Pending Approval Requests

list_pending_approval_requests
Read-onlyIdempotent

Read business approval requests assigned to the current user's inbox; does not decide or impersonate another approver. MCP approval requirements are configurable by the organization administrator; business workflow approvals always apply.

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_approval_requests"
  }
}

Input Schema

NameRequiredDescriptionDefault
idNo
limitNo
offsetNo

Output Schema

NameRequiredDescriptionDefault
dataYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive behavior, so the bar is lower. The description usefully adds the scope constraint (current user's inbox only, no acting on behalf of others) and a governance note about org-configurable MCP approval requirements, though that trailing sentence is vague about when it actually matters.

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?

Two compact sentences with the core action front-loaded and no filler. The second sentence about MCP approval configurability is the weakest link – it is abstract and only loosely tied to calling this tool – but the text is not bloated.

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

Completeness2/5

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

An output schema exists so return values needn't be explained, but a three-parameter list tool with zero schema descriptions and no mention of what 'pending' means, how results are filtered or paged, or how the id parameter narrows the list is under-specified for reliable invocation.

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

Parameters2/5

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

Schema description coverage is 0% across three parameters (id, limit, offset), and the description says nothing about any of them – not what id filters on, not the page size default/max, not offset paging. For a list tool where pagination semantics matter, this leaves the agent guessing.

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 concrete read action on a specific resource ('read business approval requests assigned to the current user's inbox') and explicitly contrasts itself with deciding/impersonating approvers. It does not, however, differentiate itself from the many find_*/get_* approval-request siblings, so an agent still has ambiguity about which listing tool to pick.

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?

The clause 'does not decide or impersonate another approver' implies a boundary with decide_* tools, but no alternative tool is named and no guidance is given on when to use this versus get_budget_approval_request, find_rfp_approval_request, or summarize_pending_actions. Usage is inferable rather than stated.

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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