score_opportunity
Score expected economics for a funded agent task.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| fees | No | ||
| revenue | Yes | ||
| toolCost | No | ||
| executionCost | Yes | ||
| failureProbability | No |
Score expected economics for a funded agent task.
| Name | Required | Description | Default |
|---|---|---|---|
| fees | No | ||
| revenue | Yes | ||
| toolCost | No | ||
| executionCost | Yes | ||
| failureProbability | No |
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 must carry the full behavioral burden. It implies a scoring/computation action but does not disclose whether the tool has side effects, what permissions are needed, how failures are handled, or what the return value looks like.
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 with no wasted words. However, it is too terse for a five-parameter scoring tool, so its brevity reflects under-specification rather than appropriate sizing.
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?
With no annotations, no output schema, and 0% schema description coverage across five parameters, the description would need to explain inputs, assumptions, and return behavior. It provides only a high-level purpose phrase, leaving an agent without enough information to invoke the tool correctly.
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%, and the description does not mention any of the five parameters (fees, revenue, toolCost, executionCost, failureProbability) or their meaning, requiredness, or constraints. It fails to compensate for the complete lack of schema documentation.
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 states a verb ('Score') and a resource ('expected economics') scoped to a 'funded agent task', so it is more than a tautology. However, it does not define what a score represents, what economics are considered, or how it differs from any sibling tool, leaving the purpose only partially clear.
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, when not to use it, or what alternatives exist. The phrase 'for a funded agent task' gives context but does not tell an agent when this scoring operation is appropriate or what prerequisites must be met.
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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