get_case_studyThe summary of one HiBot case study by slug: the headline finding, what the full report covers, and the page where customers can request it.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Case study slug from list_case_studies. |
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?
With no annotations, the description carries the burden of behavioral disclosure. It states that the tool returns a summary rather than the full report and enumerates the three content elements, which is meaningful transparency for a read-style retrieval tool. It does not cover error behavior or authentication, but those are less critical for this simple get operation.
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 core action and key first, then uses a colon to list the expected returned components. 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 one-parameter retrieval tool, the description covers what the output includes and the input key. It is slightly incomplete only in not explicitly guiding the agent toward list_case_studies when the slug is unknown, though the schema already points there.
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 slug parameter is already documented as coming from list_case_studies. The description repeats 'by slug' without adding format, defaults, or edge-case meaning, so it does not raise the baseline.
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 clearly identifies the resource (one HiBot case study) and the key (slug), and specifies what the returned summary contains: headline finding, report coverage, and request page. It differentiates from list_case_studies by the singular focus, but does not explicitly contrast with siblings like get_blog_article.
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 use case is implied: an agent should call this when it has a case-study slug and wants the summary of that one study. The schema's slug description adds the source (list_case_studies), but the description itself gives no explicit when-to-use or alternative routing.
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.
Each tool targets a distinct resource and action: methodology explanation, article retrieval by slug, case study summary, plan details, and list/search operations. The three blog-related tools (get/list/search) have clearly different semantics — slug lookup, listing/filtering, and keyword search — so an agent can reliably select the right one.
All tools follow a consistent verb_noun snake_case convention: get_*, list_*, search_*. Verbs are uniform and nouns match the resource type (article, case_study, plans, blog, methodology). No camelCase or inconsistent verb styles are present.
Seven tools is well within the ideal 3-15 range for an informational server. Each tool earns its place by covering a distinct read-only capability (retrieval, listing, searching) for the three content areas (blog, case studies, plans/methodology).
The server covers the full read-only surface implied by its domain: methodology explanation, plan details, article list/search/retrieve, and case study list/retrieve. No critical operation is missing for an agent trying to answer questions about HiBot's content and offerings.