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List Budget Approvers

list_budget_approvers
Read-onlyIdempotent

Read default or deal-specific budget approvers. 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_budget_approvers"
  }
}

Input Schema

NameRequiredDescriptionDefault
idNo
limitNo
dealIdNo
offsetNo
searchNo

Output Schema

NameRequiredDescriptionDefault
dataYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already establish readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety is covered. The sentence about approval requirements being configurable by the org admin and business workflow approvals always applying adds real organizational context that the agent cannot get from annotations. But it is about approval policy generally, not about this tool's behavior (such as result ordering or pagination), so it is useful but not fully on point.

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 definition is two short sentences, with the core read operation stated first. The second sentence is slightly tangential to listing approvers, but it is brief and not wasteful. Front-loading is good.

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?

An output schema exists, so return values need no explanation, and the annotations cover safety. However, with five parameters at 0% schema coverage and no pagination or filtering guidance, the definition leaves gaps that an agent needs to call the tool correctly, such as how limit, offset, and search interact.

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%: id, limit, offset, search, and dealId all lack descriptions. The description hints that dealId selects deal-specific results, but limit, offset, and search (pagination and filtering), plus id, are completely unexplained in both the schema and the description. With five undocumented parameters, the description should do more than it does.

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 states a specific verb (Read) and resource (budget approvers) and identifies two scopes: default versus deal-specific. This distinguishes it from the sibling mutation tools add_budget_approver, remove_budget_approver, and reorder_budget_approver by making clear it only reads. It never names those siblings explicitly, which keeps it short of a 5.

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 phrase 'default or deal-specific' implicitly signals when to target a deal, but the description never spells out the trigger for using the dealId parameter or contrasts that case with get_budget_approval and find_budget_approval_request. Usage must be inferred rather than read directly.

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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