Library changelog
changelogThe library version, what each release added or changed, and how patterns are versioned. Use it to cite a specific version of Slop Patterns.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
changelogThe library version, what each release added or changed, and how patterns are versioned. Use it to cite a specific version of Slop Patterns.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description adds what the call returns substantively (release deltas and the versioning scheme), but says nothing about format, ordering, or size of the changelog — adequate, not rich.
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 short sentences, zero filler, with the content of the tool front-loaded and the usage cue second. Nothing here could be cut without losing 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?
With no parameters, no nested objects, and annotations carrying the read-only/idempotent guarantees, the description covers what an agent needs: what the tool returns and the one situation that justifies calling it. It is slightly thin on the shape of the returned changelog, but no output schema exists to rely on and the gap is minor for a zero-arg read.
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 takes zero parameters, which is the baseline-4 case; there is no parameter meaning for the description to supplement. It correctly avoids inventing arguments and only frames what the parameterless call yields.
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 the resource (library changelog) and enumerates the content it exposes: version, per-release additions/changes, and versioning scheme. That is specific enough to separate it from siblings like list_patterns or get_pattern, though it never explicitly contrasts itself with them and reads partly as a noun phrase rather than a verb+resource statement.
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?
It gives an explicit use case: 'Use it to cite a specific version of Slop Patterns.' That is real when-to-use guidance rather than an implied one, but there are no exclusions and no mention of alternatives (e.g. get_pattern) when the agent only wants a single pattern rather than version provenance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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