Compare changelog state between two dates for an API. Shows what was added or removed in the range.
| Name | Required | Description | Default |
|---|---|---|---|
| api_id | Yes | ||
| to_date | Yes | End date (ISO 8601) | |
| from_date | Yes | Start date (ISO 8601) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of disclosing behavior. It transparently states the operation is a comparison that outputs added/removed items, which covers core behavior. However, it does not disclose potential limitations like pagination, sorting, or whether modifications are included, leaving some behavioral aspects opaque.
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 two concise sentences, front-loaded with the primary action ('Compare changelog state...') and then clarifying the output. Every word earns its place, with no redundant 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?
For a simple 3-parameter tool with no output schema and no annotations, the description gives a basic understanding of purpose and result (added/removed). However, it lacks detail on output format, edge cases, or any required context, making it only partially complete for a new agent.
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 input schema covers 67% of parameters with descriptions (from_date/to_date as ISO 8601). The tool description adds no parameter-specific details beyond implying api_id identifies the API and the dates set the range. This is adequate but does not substantially enhance the schema.
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 that the tool compares changelog state between two dates and shows what was added or removed, using a specific verb and resource. It distinguishes itself from siblings like fetch_changelog (full retrieval) and detect_breaking_changes (impact analysis) by its time-bounded comparison, though it doesn't explicitly name alternatives.
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 usage when a changelog diff over a date range is needed, but it provides no explicit guidance on when to use this tool versus siblings or any exclusionary cases. No alternatives are mentioned, leaving the 'when' somewhat inferred.
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.
Tools are mostly distinct: list_tracked_apis focuses on API metadata, fetch_changelog retrieves entries, diff_versions compares time ranges, detect_breaking_changes filters by severity, search provides full-text, and subscribe_feed handles notifications. Slight overlap exists between detect_breaking_changes and fetch_changelog (both can return entries filtered by date), but descriptions clarify the breaking-change focus.
All tool names follow a consistent verb_noun pattern (detect_, diff_, fetch_, list_, subscribe_) with snake_case, and 'search' is a simple verb that fits the pattern. No mixed conventions.
Six tools is well-scoped for a changelog tracker, covering discovery, analysis, and subscription functionality without unnecessary bloat.
The core lifecycle is covered: listing APIs, fetching changelogs, detecting breaking changes, diffing versions, searching, and subscribing. Minor gaps include no unsubscribe/resubscription management and no single-entry detail view, but these are not critical for the primary use case.