Fetch one item by id: tldr, judge reason, a summary (own-words digest you can cite for numbers/claims/frameworks), and the raw excerpt. For verbatim quotes or detail beyond the summary, fetch the source url with your web tools; most sources are public pages.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It describes the output content (tldr, judge reason, summary, excerpt) and notes limitations (no verbatim quotes). However, it does not disclose error behavior, authentication needs, rate limits, or what happens if the id is invalid. The description is partially transparent but incomplete.
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 extremely concise: one sentence for purpose and one for usage guidance. Both sentences are front-loaded and essential, with no wasted words. It is well-structured for quick scanning.
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 simple tool with one parameter and no output schema, the description covers the basic purpose and usage boundaries. However, it lacks details on parameter semantics, error handling, and output structure. It is adequate but not comprehensive.
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% — the 'id' parameter has no description in the schema. The description only mentions 'by id' without explaining format, source, or constraints. This adds minimal meaning beyond the schema presence. For a single required parameter, more detail is needed.
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 action ('Fetch one item by id') and the specific resource fields returned (tldr, judge reason, summary, excerpt). It implicitly distinguishes from sibling tools by focusing on a single item retrieval, while siblings like 'earlywire_search' and 'earlywire_trending' suggest different scopes.
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?
Explicitly advises when to use alternative tools: 'For verbatim quotes or detail beyond the summary, fetch the source url with your web tools.' This provides clear when-to-use and when-not-to-use guidance, distinguishing this tool's role.
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 has a uniquely identifiable purpose: coverage checks answering capability, get_item retrieves a single item, search handles queries, topic_pulse explores discussion around a topic, trending shows rising topics, and whats_new provides the freshest items. No ambiguity between them.
All tools follow a consistent 'earlywire_' prefix and use descriptive, lowercase snake_case names (coverage, get_item, search, topic_pulse, trending, whats_new). The naming pattern is uniform and predictable.
With 6 tools, the server is well-scoped for a marketing/growth intelligence niche. It provides essential operations without being too sparse or overloaded. Each tool contributes to a coherent workflow.
The tool surface covers the full lifecycle of interacting with the curated intelligence: discovery (trending, whats_new), search (search), deep dive (get_item, topic_pulse), and scope checking (coverage). No obvious gaps for a read-only intelligence service.
