task_economics
The money story of one task, leg by leg: posted, held, paid to whom net of which fees, or refunded and why.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes |
The money story of one task, leg by leg: posted, held, paid to whom net of which fees, or refunded and why.
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description is the sole behavioral source. It does disclose meaningful detail: results are leg-by-leg, include posting/holding/payment/refund states, and show fee netting and refund reasons. However, it does not state whether the operation is read-only, what the return shape is, or any access/permission requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that packs substantial information: scope, granularity, and the categories of financial legs. Every phrase earns its place, and the colon-delimited list makes the content scannable without wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter query tool, the description adequately conveys what the tool covers and the task-level scope. But with no output schema and no annotations, it omits the return shape and any usage boundaries, making it minimally viable rather than fully self-sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single required taskId with no description, and schema coverage is 0%. The tool description implies taskId refers to the task whose economics are returned, but it does not explain the ID format, how to obtain it, or any constraints, so the description adds only minimal meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the resource ('one task') and the content domain ('money story'), enumerating posted, held, paid, fees, and refunded legs. It is distinguishable from wallet-level siblings by the explicit task-level scoping. However, it lacks a direct verb like 'retrieves' or 'returns', relying on the metaphorical 'money story' instead.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit guidance about when to use task_economics versus alternatives such as wallet_movements, wallet_statement, or hub_economy. The task-level scope is implied but no exclusions or alternative tool names are provided, leaving the agent to infer selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.