Start: Food temperature record checker
checker_startThe first question of the Food temperature record checker decision guide.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
checker_startThe first question of the Food temperature record checker decision guide.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for disclosing behavior. It only states what the tool is ('the first question') rather than what happens when invoked, such as whether it returns a question, starts a session, or has side effects.
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, compact sentence that conveys the tool's position in the decision guide without redundant phrasing or filler. It is appropriately sized for a tool with no parameters and simple semantics.
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 zero-parameter, no-output-schema tool, the description is minimally adequate, but it leaves ambiguity about what the agent will receive after calling and how this connects to checker_answer or checker_tree. A brief mention of the return value or next step would make it complete.
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?
The tool has zero parameters and 100% schema description coverage, so there is nothing for the description to clarify. Per the baseline for zero-parameter tools, this dimension is well satisfied.
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 identifies the resource as 'Food temperature record checker decision guide' and positions this tool as its 'first question,' which is more informative than a tautology. However, it lacks an explicit action verb such as 'returns' or 'starts,' so the agent must infer what calling it actually does.
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 word 'first' implies this tool is the entry point to the decision guide, giving the agent a weak usage signal. It does not explicitly compare against sibling tools like checker_answer or checker_tree, nor state when not to use it.
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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Each tool maps to a distinct function: the checker tools handle starting, stepping through, and viewing the full decision tree, while the enquiry tools handle explaining the process, listing fields, and submitting with consent. There is no meaningful overlap between any two tools.
The checker_ and enquiry_ prefixes provide some grouping, but the verb/noun ordering is inconsistent: checker_start and submit_enquiry are verb-first while enquiry_describe and enquiry_fields are noun-first. The names are readable but do not follow one clear convention.
Six tools is well-scoped for the two workflows present: a decision guide and an enquiry submission flow. Each tool earns its place and there are no redundant or superfluous tools.
The checker workflow covers starting, stepping through, and reasoning end-to-end, while the enquiry workflow covers explanation, field schema, and two-step consent-based submission. The surface supports the full intended user journey without obvious dead ends.