get_tool
Fetch one aicoolies tool by slug from the public catalog.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Tool slug, for example cursor |
Fetch one aicoolies tool by slug from the public catalog.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Tool slug, for example cursor |
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, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description's only added behavioral fact is that the catalog is public (no auth), which is a modest but real contribution.
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?
One sentence, zero filler, front-loaded with verb and resource. Nothing could be removed without losing meaning.
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 single-parameter read with full annotations and a fully documented schema, the description is sufficient to invoke the tool. It is slightly thin on failure behavior (unknown slug) and on the shape of the returned tool record, though no output schema exists to compensate.
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 parameter already carries a description (including a 'cursor' example), so the schema does the heavy lifting. The description only restates 'by slug' without adding format constraints such as case sensitivity or slug validity rules. 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?
States a specific verb (fetch), a specific cardinality (one), a key (by slug) and the source (public catalog). This clearly separates it from search_tools and list_developer_resources, but it never names those siblings explicitly, so differentiation is inferable rather than stated.
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: fetch a single known tool by its slug. There is no explicit guidance on when to reach for this instead of search_tools (e.g. 'use search_tools when you don't know the slug'), and no note on what happens when the slug is unknown.
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.