HiBot Audit Plans
get_plansThe HiBot Pulse and Panorama audit plans: price, question count, AI engines covered, runs per question, what every report includes, and where customers register.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_plansThe HiBot Pulse and Panorama audit plans: price, question count, AI engines covered, runs per question, what every report includes, and where customers register.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
No annotations are provided, so the description must carry the behavioral disclosure burden. It does disclose the information domains covered, including a non-obvious action ('where customers register'), but it does not state return format, whether this is a read-only retrieval, or any limitations. For a zero-parameter informational tool this is acceptable but not richly transparent.
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 entire description is one focused sentence that front-loads the resource name and immediately enumerates its contents. There is no redundant phrasing or filler; every element adds useful information.
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?
Given no parameters, no output schema, and a simple informational purpose, the description covers the essential content areas comprehensively. It could marginally improve by explicitly stating the output form, but the enumerated list already communicates what the agent will receive.
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, so the baseline is 4. The description appropriately focuses on the content of the returned data rather than parameter meaning, which is not needed here.
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 specific resource ('HiBot Pulse and Panorama audit plans') and enumerates the exact content it covers: price, question count, AI engines, runs per question, report inclusions, and registration location. This clearly differentiates it from sibling tools focused on blogs, case studies, and methodology.
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 description implies that this tool is for retrieving audit plan details, but it provides no explicit guidance on when to choose it over the sibling tools or any exclusions. The resource is clear enough for basic selection, but the description leaves the decision entirely to inference.
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.