penalty_signal
Intake an account-level penalty signal {kind}; attribution comes from baselines only
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kind | Yes |
Intake an account-level penalty signal {kind}; attribution comes from baselines only
| Name | Required | Description | Default |
|---|---|---|---|
| kind | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses a cryptic attribution constraint ('from baselines only') but says nothing about side effects, permissions, duplicate handling, or what happens after intake.
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?
It is a single sentence with no obvious waste, but its terseness comes at the cost of clarity. The attribution clause is front-loaded but cryptic rather than informative.
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 an unannotated ingestion tool with an undocumented required parameter and no output schema, the description is incomplete. It does not explain what a 'kind' is, what the tool returns, or how to recover from an invalid signal.
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?
Schema description coverage is 0% for the single required 'kind' parameter, and the description merely repeats '{kind}' without explaining allowed values, format, or meaning. The description does not compensate for the schema gap.
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 names an action ('Intake') and resource ('account-level penalty signal'), so an agent can infer this records or ingests a penalty event. However, 'penalty signal' is jargon and the description does not distinguish this from siblings like record_outcome or receipts.
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 on when to use this tool versus alternatives. The phrase 'attribution comes from baselines only' reads as a constraint but is too cryptic to function as usage guidance.
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.