list_specs
List every class/spec available, with the slugs used by the other tools.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List every class/spec available, with the slugs used by the other tools.
| 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 and openWorldHint=false, so safety and scope are covered structurally. The description adds a meaningful behavioral trait beyond that: it returns the *complete* set ("every"), so an agent knows not to expect pagination or partial results.
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 sentence with zero filler, front-loaded on the verb and resource, with the most agent-relevant detail (slugs for other tools) placed where it will be read first.
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, read-only lookup with no output schema, the description supplies enough: what is enumerated and what identifier form comes back. It stops short of describing the entry shape (e.g. whether specs are nested under classes), which would have closed the last gap.
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 takes no parameters, so per the baseline this is a 4. The description correctly implies the call is unconditional and requires no filtering input.
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 ("List every class/spec available") and adds the payload detail that matters — the slugs other tools consume. It is clearly distinguishable from the action-oriented siblings (generate_build, compare_character, decode_build), though it never names them.
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 clause "with the slugs used by the other tools" gives clear context for when to call it: as a discovery step before any tool that takes a class/spec identifier. There are no explicit exclusions or named alternatives, but for a zero-argument enumeration tool no real alternative exists.
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.