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write_changelog_entry

Create a changelog entry for a software release by specifying version, date, and at least one change category (added, changed, fixed, breaking). The entry is indexed and auto-pushed to git.

Instructions

Create a changelog entry for a release, index it, and auto-push to git.

    Side effects: creates changelog/{version-slug}.md in the docs path,
    indexes it into the vector store, and pushes to git if configured.
    Calling twice with the same version overwrites the existing entry.
    Returns an error if none of added/changed/fixed/breaking is provided.

    Use for release notes and version history. At least one of the
    content fields (added, changed, fixed, breaking) must be non-empty.

    Args:
        version: Version string (e.g. "2.1.0" or "v3.9.40")
        release_date: ISO date string (e.g. "2026-05-03")
        added: New features added in this release (optional)
        changed: Changes to existing functionality (optional)
        fixed: Bug fixes included (optional)
        breaking: Breaking changes requiring migration (optional)
        project: Target project name (optional)

    Returns:
        Saved filename, chunk count, and whether auto-push succeeded.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addedNo
fixedNo
changedNo
projectNo
versionYes
breakingNo
release_dateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fully discloses side effects: file creation, vector store indexing, git push, idempotency (overwrites on same version), and error conditions. This provides clear behavioral expectations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a summary line, bullet points, and arg list. It is concise but contains minor redundancy (error condition mentioned twice). Still, every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (7 parameters, output schema present), the description covers the tool's purpose, side effects, usage, parameters, and return value format. It is sufficiently complete for an agent to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description provides detailed explanations for all 7 parameters, including format examples (e.g., '2.1.0' for version) and semantic meaning of optional content fields. This adds significant value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create a changelog entry for a release, index it, and auto-push to git,' identifying specific resource and actions. It distinguishes from sibling write_* tools by focusing on changelog entries.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use for release notes and version history' and specifies the precondition that at least one content field must be provided. However, it does not mention when not to use or compare with alternatives.

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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