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finance_grant_program_discovery

Discover grant programs by submitting a free-text objective or structured inputs to the finance domain agent.

Instructions

Run the finance domain agent action grant_program_discovery.

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
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It mentions routing through the domain-agent dispatcher under JWT/tenant/company scope, but does not describe side effects, return values, or whether the action is read-only or destructive. The output schema exists but is not referenced.

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 includes an Args section, but the first sentence restates the tool name without clarifying purpose. The routing detail is useful but not front-loaded. Sentence efficiency is moderate.

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

Completeness1/5

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

Despite having an output schema, the description fails to explain the core functionality—discovering grant programs. An agent cannot determine when to invoke this tool, what inputs are appropriate, or what results to expect. Critical context is missing.

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?

Given zero schema coverage, the description adds meaning by labeling 'message' as a 'Free-text objective' and 'inputs' as an 'Optional JSON string of structured inputs'. This provides basic semantic context beyond the type definitions in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Run the finance domain agent action grant_program_discovery', which is tautological and does not explain what the action actually does. It fails to convey that the tool discovers grant programs, leaving the agent uncertain of its function.

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 on when to use this tool versus alternatives. The description lacks any contextual hints about prerequisites, typical use cases, or situations to avoid.

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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