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vmware-skills

io.github.zw008/vmware-debug

case_plan

Read-onlyIdempotent

Generates an adaptive next-step diagnostic plan for a VMware case after each evidence round, prioritizing breadth and routing around unavailable sources to keep the investigation moving.

Instructions

[READ] What to fetch next for this case — step 02, recomputed each call.

WHEN: right after case_open, and again after each round of evidence. It is not a checklist: submit something and the next plan is shorter, lose a source and it routes around it.

RETURNS: {category, category_signals, steps, already_covered, held_back, unavailable, ceiling, note}. Steps are interleaved across evidence classes, so you get breadth before depth — corroboration is counted in distinct sources, which is what actually moves the grade. Each step is {evidence_class, skill, tool, purpose, objects, window, degraded} — call that skill's tool, then submit the result with case_submit_evidence.

GOTCHAS: unavailable is the important half. A source this install cannot reach is listed there with how_to_supply rather than left out, so the gap is visible now instead of when the conclusion refuses to firm up. An empty steps is never silent — note says whether everything reachable is already in, or whether nothing here can be reached. category_signals names the words that chose the category, and any category that also matched — check it first, since the rest runs off that one word.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
case_idYesThe case to plan for (from case_open/case_list).
categoryNoForce the symptom class instead of inferring it. Exactly one of: storage, network, compute, ha_drs, configuration, accelerator, kubernetes, hardware, host_lifecycle, power_lifecycle, auth, platform. Omit to infer, then read `category_signals` for the word that decided it.
max_stepsNoHAS NO EFFECT in this release — accepted but never forwarded to the planner, which always caps at 6. The result's note may still advise raising it; doing so changes nothing. Read `held_back` for how many steps were cut.
available_skillsNoNarrow to the skills actually installed, in either spelling ("monitor" or "vmware-monitor"). Omit to assume all of them, which can produce steps this install cannot run.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.11.1

TDQS

A4.5/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing recomputation behavior, the non-checklist nature, how plan length changes, and what happens when sources are lost. It also explains the meaning of unavailable, empty steps, and category_signas — all without contradicting the readOnly/idempotent annotations.

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

Conciseness5/5

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

Uses clear section headers (WHEN, RETURNS, GOTCHAS) and front-loads the core purpose. Despite its length, each sentence adds distinct behavioral or return-value value with no fluff or repetition.

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?

Her the absence of an output schema, the description fully specifies the return object shape, key nested fields, edge cases, and follow-up flow. An agent has enough to call it and interpret results correctly in context.

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?

Schema description coverage is 100%, so the schema already fully documents all parameters. The description reinforces category inference behavior and return-field mechanics but does not need to add parameter meaning; baseline 3 applies.

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?

States a precise function: 'What to fetch next for this case' with a clear phase marker ('step 02'). It also distinguishes itself from the submission tool by naming the follow-up action, making its role unambiguous among siblings.

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?

Gives explicit timing guidance: 'right after case_open, and again after each round of evidence' and explains what changes the next plan. It stops short of naming explicit when-not-to-use alternatives, but the sequencing is clear enough to route an agent.

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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