list_repairs
List the repair and servicing jobs PriceMyRepair has UK price ranges for, with the page each one is documented on.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List the repair and servicing jobs PriceMyRepair has UK price ranges for, with the page each one is documented on.
| 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 the behavioral disclosure burden. It makes clear this is a read-only listing operation and tells the agent what output content to expect: repair/servicing jobs and the page each is documented on. Minor details like ordering or exact output shape are absent, but for a parameterless list tool this is reasonably transparent.
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 states the action, the resource, the scope, and the key output attribute. There is no filler or repetition of the tool name.
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, parameterless tool with no output schema, the description adequately explains what is returned and the scope of the data. It does not explicitly mention edge cases, ordering, or how to handle empty results, but these are not critical for this kind of list operation.
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, so the input schema is trivially complete. Per the baseline for zero-parameter tools, the description does not need to add parameter details; it adds helpful contextual scoping with 'UK price ranges' and page references.
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 uses a specific verb ('List') and a specific resource ('the repair and servicing jobs PriceMyRepair has UK price ranges for'), and adds the useful detail that each entry includes the page it is documented on. This clearly differentiates it from the sibling tools, which deal with model costs, repair costs, and model listings.
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 description implies this is the tool to use when you need an enumeration of repair/servicing jobs with UK price ranges and their source pages. However, it does not explicitly contrast it with siblings like get_repair_cost or list_models, leaving some routing to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The two getter tools have a slight overlap: get_model_costs returns all repairs for a model, while get_repair_cost targets one repair on one model, so a specific repair query could be served by either. However, the descriptions give clear intended use cases, and list_models/list_repairs are completely distinct.
All tool names follow a consistent verb_noun pattern: get_model_costs, get_repair_cost, list_models, list_repairs. This makes the set predictable and easy to navigate.
Four tools is well-scoped for a read-only repair cost lookup service: two list endpoints for discovery and two get endpoints for retrieving costs. Each tool earns its place without redundancy.
The tool surface covers the full user journey: discover available models and repairs, then fetch either a comprehensive model cost table or a specific repair estimate. No obvious dead ends or missing operations exist for the stated purpose.