One of the four research timelines in chronological order: api (the moments that shaped web APIs), resources (which digital resources became APIs and when), industries (the industrial history framing API infrastructure), people (the people who made compute and APIs possible).
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | ||
| limit | No | ||
| timeline | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations present, so the description must disclose behavioral traits. It mentions 'chronological order' but does not specify that the tool is read-only, how results are paginated, or any other side effects.
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 description is a single sentence that packs the enum options in a list, which is somewhat structured but could be more concise by splitting into separate points.
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, no mention of return format (e.g., list of events), and missing pagination details. Given the number of sibling tools, more context is needed to guide agent selection.
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%, so the description should explain all parameters. It only describes the 'timeline' enum values, leaving 'page' and 'limit' unexplained despite their defaults and constraints suggesting pagination.
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 states the verb 'get' and resource 'timeline', and enumerates the four specific timelines (api, resources, industries, people), distinguishing it from sibling tools that fetch individual entities.
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?
No guidance on when to use this tool versus alternatives; it only lists the timeline options without explaining contexts or exclusions.
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.
Most tools have distinct purposes with clear descriptions, reducing ambiguity. However, some overlap exists between search tools like 'find_posts' and 'search_api_evangelist', though they target different scopes (stories vs. unified search). Overall, an agent can reasonably differentiate them.
The majority of tools follow a verb_noun pattern (e.g., find_areas, get_post), but several use noun_noun or inconsistent prefixes (e.g., api_coverage, company_gaps, insights_adoption). This inconsistency can confuse pattern recognition, though the pattern is still readable.
With 56 tools, the server is overloaded for a typical MCP context. While the domain is broad, the sheer number risks agent confusion and selection errors. Calibration suggests 25+ tools are excessive, and this server far exceeds that threshold.
The tool set covers a wide range of API governance, search, analysis, and generation tasks. There are no obvious dead ends for navigating the API Evangelist network, though some areas (e.g., direct API creation) are intentionally out of scope. Minor consolidation could improve efficiency.
