Get research guide
get_research_guideRead topic-specific research possibilities, evidence and current connection guidance. Free; no research calculation or provider request.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| topic | No | overview |
get_research_guideRead topic-specific research possibilities, evidence and current connection guidance. Free; no research calculation or provider request.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | No | overview |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover readOnly, openWorld=false, destructive=false, so the safety profile is settled. The description does add real behavioral context beyond them — that the call costs nothing and triggers no provider request — which tells the agent it is a cheap, side-effect-free lookup. It stops short of describing what is returned or how the guide is scoped.
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?
Two short sentences with no padding, and the cost/call-behavior note is placed where it matters. It is tight, though the brevity is partly achieved by omitting needed content rather than by efficient phrasing.
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?
No output schema exists, so the description must carry more of the load, yet it never says what the guide returns or what each topic yields. For a tool whose only parameter is an unexplained 11-value enum, the definition leaves the agent guessing at invocation.
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 0% and the single 'topic' parameter carries 11 opaque enum values (overview, live, coins, authors, prices, chains, lists, history, coverage, data, all) with no explanation anywhere. The description's 'topic-specific' restates the parameter name without disambiguating any enum value, so an agent cannot tell which topic to pick for a given intent.
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 names a read of topic-scoped research guidance, which is a recognizable verb+resource, but 'research possibilities, evidence and current connection guidance' is a loosely worded bundle rather than a precise statement of what the guide contains. It gives no differentiation from adjacent siblings such as describe_archive, get_research_capabilities, or discover_evidence, which an agent must choose between.
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?
There is no explicit when-to-use, no when-not-to-use, and no named alternative. The only usage signal is the parenthetical-ish 'Free; no research calculation or provider request', which implies preference over charged operations but states no selection rule.
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.
Last observed