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finance_data_room_collation_packet

Destructive

Collate finance data room documents into a structured packet. Submit a free-text objective and optional JSON inputs to produce the collation packet.

Instructions

Run the finance domain agent action data_room_collation_packet.

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 declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, so the description does not need to restate mutability. It adds useful context by stating that execution routes through the platform's domain-agent dispatcher under the caller's JWT, tenant, and company scope. It does not elaborate on specific side effects, but it does not contradict the annotations.

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 brief, front-loaded with the core purpose, and contains no filler. The parameter breakdown is clear despite being minimal, and the routing/scope sentence adds useful context without redundancy.

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?

Even with an output schema present, the description does not explain what the finance data-room collation packet does, what inputs should contain, or when to prefer this over the generic dispatch_domain_agent. For a tool with destructive and non-idempotent annotations, an agent lacks enough context to use it confidently.

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 description coverage is 0%, so the description must compensate. It adds basic meaning: message is a free-text objective, and inputs is an optional JSON string of structured inputs. This is minimally adequate but leaves the structure or expected contents of those inputs unspecified.

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 and resource: 'Run the finance domain agent action data_room_collation_packet.' It also clarifies the routing mechanism through the domain-agent dispatcher. It does not explicitly differentiate this from generic dispatch_domain_agent or other finance packet tools, but the action name is specific and unambiguous.

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 like dispatch_domain_agent or other finance packet-generation tools. The description mentions the required scope context (JWT, tenant, company) but does not explain when this wrapper is the right choice or when another tool should be used instead.

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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