autocomplete_funding_agency
Find funding agency names by partial match (companion to awarding agency).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| search_text | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Find funding agency names by partial match (companion to awarding agency).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| search_text | 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 contributes the matching semantics ('partial match') but says nothing about result ordering, whether an empty result is possible, or how 'limit' affects output. With annotations carrying the safety burden, a 3 is appropriate.
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 short sentence that front-loads the action and resource, then adds the matching mode and the sibling relationship. Nothing is wasted and nothing needs to come earlier.
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 read-only, open-world nature. Still, for a tool with zero schema description coverage the definition should say what 'limit' does and roughly what the caller receives, and it omits the next-step handoff to an awards query.
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%, so the description must carry parameter meaning. It does explain that search_text is matched partially rather than exactly, which is real semantic value beyond the type declaration. The 'limit' parameter (default 10) is not mentioned at all, leaving half the parameters undocumented.
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 and resource ('Find funding agency names') plus the matching mechanism ('partial match'), which distinguishes it from the data-retrieval siblings. It also names its counterpart ('companion to awarding agency'), though it stops short of full sibling differentiation against the other autocomplete_* tools.
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?
The phrase 'companion to awarding agency' hints at how this tool pairs with autocomplete_awarding_agency, implying a lookup-then-query workflow. However, there is no explicit when-to-use statement, no exclusions against the other autocomplete_* tools, and no mention of feeding the resolved name into an awards query.
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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