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Reconcile SAFE funding evidence

sparkclose.reconcile_funding
DestructiveIdempotent

Confirm matching company-recorded receipts; no funds move and no bank settlement is verified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
investment_idYes
idempotency_keyNo
expected_versionYes
confirmation_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Added

TDQS

B3.1/5.0
Behavior2/5

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

The description adds some scope context beyond annotations ('no funds move and no bank settlement is verified'), which clarifies what the operation does not do. However, annotations declare readOnlyHint=false and destructiveHint=true, yet the description frames the tool as a benign 'Confirm' operation with no disclosure that it mutates or destroys state. This tonal mismatch is materially misleading for an operation flagged destructive.

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

Conciseness5/5

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

A single 14-word sentence with no filler. The verb and object are front-loaded ('Confirm matching company-recorded receipts'), and each negative qualifier earns its place by narrowing the operational scope. This is appropriately sized.

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 tool with five parameters (three required), a destructive annotation, and unusual fields like expected_version and confirmation_token, this description is too thin. It omits parameter semantics, fails to disclose the mutating nature of the operation, and gives no routing guidance relative to record_receipt or close_investment. The presence of an output schema covers return values, but the remaining gaps are material.

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%, so the description bears the full burden of explaining the five parameters—yet it explains none. In particular, expected_version (a 64-char hex string, likely an optimistic-concurrency token) and confirmation_token are non-obvious and completely undocumented in prose. The description adds zero parameter meaning beyond what the raw schema shows.

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?

The description states a specific verb and resource: 'Confirm matching company-recorded receipts.' The title 'Reconcile SAFE funding evidence' reinforces the domain. Within the sparkclose sibling set (record_receipt, close_investment, record_approval), the scoping negatives 'no funds move and no bank settlement is verified' help distinguish reconciliation from closing or settlement actions.

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 description implies the use case—confirming that company-recorded receipts match—and its negatives ('no funds move, no bank settlement is verified') provide partial routing signal by excluding fund-movement and settlement responsibilities. However, it never explicitly names alternatives such as record_receipt (for recording new receipts) or close_investment (for closing), so when-to-use vs. when-not-to-use is left to inference.

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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