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nixkeeper
by nixkeeper

Packages needing attention

needs_attention
Read-only

Find nixpkgs packages requiring attention: failing Hydra builds, outdated versions, vulnerabilities, backports, or open PRs a maintainer or team can merge, filterable by kind, platform, or list.

Instructions

Packages that need attention, as nixkeeper's dashboard counts them: a build failing on Hydra, outdated, vulnerable, or a CVE fix to backport; optionally only one maintainer's (GitHub handle), one team's or one list's, one kind, one platform. Without maintainer, team or list: all of nixpkgs (thousands: narrow with kind). With a maintainer or team, also the open PRs they can merge now with the merge bot (canMerge).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoany (default): what the dashboard says needs attention; failing (a build of its own fails), updateFailing (the update bot fails), outdated, waiting (updated on master, waiting for the channel), vulnerable, backport, broken; stagingNext: builds on master but fails its own build on staging-next (a forecast: it fails on master when staging-next is merged, unless fixed; not in any); all: every package of the maintainer/team/list.
listNoOne of the dashboard's lists.
teamNoA nixpkgs team (Gaming, Qt-KDE, ...).
limitNoAt most this many results (default 50).
platformNolinux or darwin: available there (for failing: failing there).
maintainerNoA maintainer's GitHub handle.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description adds real behavioral context beyond that: the exact aggregation semantics behind 'needs attention', the scale warning for unfiltered queries, and the non-obvious fact that maintainer/team queries also surface canMerge PRs. It stops short of describing ordering or result shape.

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?

Two sentences, front-loaded with the definition before the scoping rules, with no filler. The second sentence is dense and packs several conditions (maintainer vs team vs list, canMerge) into one clause, which costs a little readability but every element is load-bearing.

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

Completeness4/5

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

For a 6-parameter, zero-required, complex aggregation tool with no output schema, the description covers what is counted, how scope changes with filters, and the scale caveat. What is missing is anything about result ordering or the shape of a returned package entry, which an agent may want when composing downstream calls.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3 and the schema already documents kind, list, team, limit, platform, maintainer. The description still adds cross-parameter meaning the schema cannot: that maintainer/team/list are mutually alternative scoping dimensions and that maintainer/team additionally triggers canMerge results.

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

Purpose4/5

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

The description gives a precise definition of the resource: packages that need attention as the nixkeeper dashboard counts them, enumerating the qualifying categories (failing build, outdated, vulnerable, backport). This rescues a fairly vague tool name. It does not explicitly route the agent away from subset siblings like build_failures or vulnerabilities, so it stops short of full sibling differentiation.

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?

It explains the two operating regimes clearly: without maintainer/team/list the scope is all of nixpkgs (thousands, narrow with kind), and with a maintainer or team the result also includes mergeable PRs (canMerge). That is concrete when-to-use context. It never names an alternative sibling tool to use instead, so no explicit exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.