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Glama

suggest_next_up

Suggests the next calm task across projects, prioritizing quiet stale work with resume cues, honoring focus project, and optional energy match when focus is off and you ask what now.

Instructions

Calm cross-project Next-up pick (Wave 7 continuity intelligence).

    Soft ranking only — prefers quiet/stale open work with a resume cue,
    optional energy match, and optional focus_project_slug to honour focus
    mode / drift (stay near the chosen project). Never starts or dismisses
    work. Prefer this when focus is off and the human asks “what now?”.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
energyNo
project_slugNo
focus_project_slugNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.17.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It discloses that this is a soft, non-destructive ranking tool that prefers quiet/stale open work and never starts or dismisses work. This gives the agent essential behavioral context beyond the schema.

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 compact and front-loaded with the core purpose, followed by behavioral constraints and a usage cue. Minor rhetorical filler like 'Wave 7 continuity intelligence' does not significantly hurt clarity.

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 read-only suggestion tool with an output schema and no required parameters, the description covers purpose, usage context, and safety behavior well. It omits project_slug semantics and fallback behavior when no work matches, but these are not critical for safe invocation.

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

Parameters3/5

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

The description adds meaning for energy ('optional energy match') and focus_project_slug ('honour focus mode / drift'), but project_slug is never mentioned and the energy enum values are not explained. Given 0% schema description coverage, this is partial compensation with a notable gap.

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 identifies a specific verb ('pick'), a resource ('cross-project Next-up'), and a mode ('soft ranking only'). It also differentiates itself from action-taking siblings by explicitly stating it never starts or dismisses work.

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 to prefer this tool when focus is off and the human asks 'what now?', and explains how focus_project_slug honors focus mode/drift. It does not name specific alternatives or exclusion conditions, but the intended context is clear.

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