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finance_grant_application_completion

Destructive

Completes finance grant applications by routing user objectives and structured inputs to the Lightbulb Partners domain agent for processing.

Instructions

Run the finance domain agent action grant_application_completion.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already mark this as non-read-only and destructive. The description adds useful context that calls route through the domain-agent dispatcher under JWT, tenant, and company scope. However, it does not disclose what side effects or destructive behavior the action may have, leaving an important gap.

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 description is compact and front-loaded, with a clear Args section and no filler. It is efficiently structured for quick reading, though it could have used some of its brevity to add more domain-specific guidance.

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 sitting alongside many finance_grant_* siblings, the description is too thin. It does not explain what grant application completion involves, when to invoke it relative to extraction/compile/full lifecycle, or what structured inputs are valid. The output schema exists but cannot compensate for missing usage context.

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

Parameters3/5

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

Schema coverage is 0%, so the description must compensate. It does explain that message is a free-text objective and inputs is an optional JSON string of structured inputs. This is minimal but provides some meaning beyond the bare schema, though it lacks concrete details on expected input keys, formats, or examples.

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 action: 'Run the finance domain agent action `grant_application_completion`.' This clearly identifies the verb and resource. However, it does not explain what 'completion' means or how this differs from sibling tools like finance_grant_application_compile or finance_grant_full_lifecycle_loop.

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?

There is no guidance on when to use this tool versus the many closely related finance_grant_* tools. The description only explains the routing mechanics and does not mention any alternatives, exclusions, or selection criteria.

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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