decide
Allow or deny a spend before money moves. Over $100 is denied. Nobody is asked to approve it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| agent | Yes | ||
| vendor | Yes | ||
| category | Yes | ||
| amountUsd | Yes | Whole dollars. | |
| idempotencyKey | No |
Allow or deny a spend before money moves. Over $100 is denied. Nobody is asked to approve it.
| Name | Required | Description | Default |
|---|---|---|---|
| agent | Yes | ||
| vendor | Yes | ||
| category | Yes | ||
| amountUsd | Yes | Whole dollars. | |
| idempotencyKey | 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 carries the full behavioral burden. It usefully discloses a hard policy rule (spend over $100 is denied) and that no human approval step occurs, which is real behavioral value. However it does not state whether calling decide commits or reserves the spend, whether it is side-effect free, or what the allow/deny response 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?
Three short sentences with the core rule front-loaded and no filler; the amount threshold and no-approval policy are stated up front. Only the slightly ambiguous final sentence is borderline.
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 5 parameters at 20% coverage, the description is thin for a policy-decision tool. It explains the deny rule but omits the return shape, the role of idempotencyKey, and whether an allow result actually authorizes a subsequent buy.
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 coverage is only 20% (just amountUsd: 'Whole dollars'), leaving vendor, category, agent, and idempotencyKey undocumented. The description adds one meaningful semantic — the $100 threshold on the amount — but contributes nothing for the other four parameters, so it does not compensate for the coverage 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 states a specific verb pair and resource: 'Allow or deny a spend before money moves.' An agent can tell this is a pre-authorization decision tool, not a payment executor. It does not differentiate itself from the siblings buy and confirm_payment, so it falls short of a 5.
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?
'before money moves' implies this is a gate to call prior to a purchase, and 'Nobody is asked to approve it' implies automation, but neither names buy or confirm_payment nor states explicit when-not conditions. Usage is inferable rather than stated.
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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