food_alerts
Latest Food Standards Agency product recalls and allergy alerts. (cost: 1 credit)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | number 1-100 |
Latest Food Standards Agency product recalls and allergy alerts. (cost: 1 credit)
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | number 1-100 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It usefully discloses the 1-credit cost and implies recency via 'Latest,' but does not explain auth needs, pagination, default result count, or response shape.
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 definition is a single, front-loaded sentence with no filler, and the cost note is compact. It is appropriately sized for a simple retrieval tool, though the parenthetical cost could be integrated more naturally.
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 a simple read-only tool with one optional parameter and no output schema, the description covers the core resource and cost. However, it leaves gaps around result ordering, default count, and what a returned alert contains.
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 100% and the single optional 'limit' parameter is already described in the schema as 'number 1-100.' The description adds no additional meaning about the limit or its defaults, so baseline 3 applies.
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 clearly identifies the resource as 'Latest Food Standards Agency product recalls and allergy alerts,' so an agent knows what data it retrieves. It does not explicitly distinguish the tool from siblings, though the sibling list contains no comparable food-alert tool.
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 stated guidance on when to use this tool, when not to use it, or which alternatives to prefer. The intended use is only implied by the resource name.
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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