get_award_federal_account_count
Count of distinct federal accounts (TAS) funding an award.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| award_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Count of distinct federal accounts (TAS) funding an award.
| Name | Required | Description | Default |
|---|---|---|---|
| award_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds only the word 'distinct' (deduplication semantics); it says nothing about behavior when the award has no accounts, what the count represents over time, or whether it is expensive to compute.
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?
A single front-loaded sentence with no filler. Every word in it carries meaning, and the resource and qualifier come before any framing.
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?
An output schema exists so return values need no explanation, and annotations cover the safety profile. But for a tool whose only input is an undocumented id string, the definition does not tell the agent which identifier to supply or what the count is scoped to, leaving a real risk of a wrong-format call.
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% — award_id has no description or format hint in the schema. The description's phrase 'an award' only weakly implies the parameter is an award identifier; it does not say which id form (internal generated id vs. PIID) is expected, so it fails to 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?
States a specific verb+resource: counting distinct federal accounts (TAS) that fund a given award. The TAS parenthetical clarifies the resource, and the 'count' framing distinguishes it from detail-fetching siblings like get_award_funding. It does not, however, compare itself to sibling count tools such as get_award_transaction_count or get_award_subaward_count.
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?
No guidance on when this count should be preferred over get_award_detail, get_award_funding, or get_award_funding_rollup, all of which surface related data. The only usage cue is implicit in the name and the one-line purpose.
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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