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company_demand_budget

Inspect or advance demand budgets across their scoped lifecycle using verified receipts, enabling list, update, and validation operations for accurate project spend tracking.

Instructions

Inspect or advance demand budget through its scoped lifecycle and verified receipts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nowNo
engineNo
operationNolist
entity_refNo
project_idYes
bundle_jsonYes
payload_jsonNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.1.1

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral disclosure burden. It hints at state changes through 'advance' and at verification through 'verified receipts', but it does not explain side effects, required authority, what gets mutated, or what 'scoped lifecycle' means in practice.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and contains no filler, which is good, but it is cryptic rather than usefully concise. One sentence is not a structure problem per se; the issue is that the sentence compresses too much ambiguous jargon instead of explaining the tool's behavior.

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?

For a 7-parameter tool with no annotations and no parameter documentation in the description, this is incomplete. An output schema exists, but it does not compensate for the missing guidance about lifecycle stages, operation values, bundle_json content, and verification semantics.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no meaning for any of the 7 parameters. Terms like bundle_json, payload_json, entity_ref, engine, now, and operation are completely unexplained, so the agent cannot reason about how to populate them correctly.

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 names a specific resource, 'demand budget', and gives two concrete verbs, 'Inspect' and 'advance', so an agent can infer the tool's general role. However, the wording is cryptic and does not distinguish it from the many company_* siblings, so it stops 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 Guidelines2/5

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

No guidance is provided about when to use this tool, when not to use it, or which alternatives would be more appropriate. An agent cannot tell from the description whether to reach for this tool versus other company_* financial or lifecycle tools.

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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