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finance_ledger_event_consumer

Submit finance ledger event messages with optional structured inputs to trigger domain agent actions, routing through your authenticated session.

Instructions

Run the finance domain agent action finance_ledger_event_consumer.

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 must disclose behavior. It only states it routes through a dispatcher, giving no insight into side effects, data mutation, permissions, or rate limits. The name 'event_consumer' hints at read/process, but this is not confirmed.

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 concise (5 lines) with a clear heading and args list. No wasted words, but it could be restructured to provide more informative content without adding length.

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?

Despite having an output schema, the description ignores return values. With no annotations and a bare description, the tool's context is incomplete. An 'event consumer' should specify event types, processing behavior, and effects, which are entirely absent.

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

Parameters2/5

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

Schema coverage is 0%, so the description must add meaning. It describes 'message' as 'Free-text objective' and 'inputs' as 'Optional JSON string', which is minimal and lacks format, examples, or constraints. This barely compensates for missing schema descriptions.

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 merely restates the tool name ('Run the finance domain agent action finance_ledger_event_consumer') and adds routing context. It lacks a specific verb and resource, making it unclear what the tool actually does (e.g., process ledger events, trigger a consumer). Siblings like finance_forecast or finance_query_data have clearer purposes.

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?

The description mentions routing under JWT/tenant/company scope but provides no guidance on when to use this tool versus alternatives. With many finance siblings, the use case is ambiguous; no exclusions or alternative tool names are given.

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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