get_company_overviewGet a structured overview of Flamel: what the product does, who it is for, the solution areas, key links, and how to contact sales or start a trial. Start here if you know nothing about Flamel.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| name | Yes | ||
| links | Yes | ||
| contact | Yes | ||
| tagline | Yes | ||
| audiences | Yes | ||
| solutions | Yes | ||
| description | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is well covered. The description adds context by specifying the overview includes links and sales/trial paths, and by positioning the tool as an orienting step rather than a search or detailed-content retrieval.
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 sentences with no filler: the first names the deliverable and its contents, the second adds a clear routing cue. Every clause contributes to an agent's understanding of what this tool is for and when to use it.
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 overview tool with an output schema, the description is complete. An agent knows what information to expect, when to start here, and that the operation is safe. Sibling differentiation is handled with the 'start here' cue, and the annotations cover the remaining behavioral guarantees.
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 there is nothing for the description to clarify about inputs; the baseline for a no-parameter tool is appropriate. The description focuses instead on what the returned overview contains, which is the only useful semantic content.
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 uses a specific verb ('Get') with a defined deliverable ('structured overview of Flamel') and enumerates the content areas covered. It also frames itself as the entry point, distinguishing it from sibling content-detail tools like get_blog_post or get_case_study.
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 instruction 'Start here if you know nothing about Flamel' explicitly states the condition for use and implies this tool is the initial routing point before more specific content tools. It does not explicitly name alternatives or exclusion conditions, but the entry-point guidance is clear and actionable.
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 content type and action: get_* fetches a single item by slug, list_* returns collections, and search_* does full-text search. There is no overlap that could cause misselection.
All tool names follow the same verb_noun pattern with snake_case: get_*, list_*, and search_*. The verbs and nouns are clear and consistent across the entire set.
With 9 tools, the server is well-scoped for a content-focused API. Each tool covers a necessary function (individual retrieval, collection listing, or search) without redundancy or bloat.
The tool surface fully covers the domain of public Flamel content: blog posts (get, list, categories), case studies (get, list), FAQs, testimonials, company overview, and a cross-content search. No obvious read operations are missing.