get_service_catalog
Read the four supported Labs computation contracts and connection instructions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read the four supported Labs computation contracts and connection instructions.
| 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, idempotentHint=true, and destructiveHint=false, so the description only needs to add context beyond safety. It adds that the tool returns exactly four contracts and connection instructions, which is useful, but it doesn't disclose other behavioral details like response format or potential edge cases. No contradiction with annotations.
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 sentence with the verb and resource front-loaded. Every word earns its place, and there is no filler or redundancy.
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 tool with no parameters, full annotation coverage, and no output schema, this description tells an agent exactly what will be returned (four contracts and connection instructions). Nothing an agent needs to call it correctly is missing.
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 the schema coverage is 100% (empty object). Per the baseline for 0-parameter tools, a score of 4 applies because there are no parameter semantics to clarify; the description correctly omits any param details.
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 ('Read') and names the exact resource ('the four supported Labs computation contracts and connection instructions'). It clearly distinguishes this tool from siblings like build_operator_brief or check_evidence_inventory, none of which are about retrieving a catalog.
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?
Usage is implied rather than explicit: an agent can infer that if it needs the supported Labs contracts, this is the tool to use. However, the description does not explicitly state when to use it versus alternatives, nor does it mention any exclusions or prerequisites.
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.