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DeckProbe MCP Server

Official
by deckflow

Probe several documents

probe_batch
Read-onlyIdempotent

Analyze multiple local documents in a single call to inventory a folder, triage uploads, or compare files. Each path returns its own report, so one failed file does not block the rest.

Instructions

Probe many local documents in one call — inventory a folder, triage a batch of uploads, or compare a set of files. One engine process handles the whole batch, so this is much cheaper than calling probe once per file.

Takes literal paths; expand any glob yourself first. Returns one entry per path, in the order given, each carrying that file's report or its own error envelope. A file that fails does not affect the others.

Defaults to the compact "values" view because inventory rarely needs per-target evidence; pass view: "report" when it does.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoreport: full evidence — value, confidence, path, and cost per target. values: a compact target-to-value map.
levelNoProbe budget and eligible paths. header: identity only. metadata (default). deep: higher-cost paths, needed only when a target's min_level says so.
pathsYesDocument paths, at most 64 per call. Literal paths only.
budgetNoOverride the level's resource limits. Raise after a BUDGET_EXCEEDED error.
targetsNoShort names (slide_count), canonical names (powerpoint.slide_count), or presets: @header, @summary, @security, @structure, @assets, @quality, @format, @all. Defaults to the driver's own set. Call list_targets rather than guessing a name. @summary omits statistics needing a full-file read, so ask for a PDF's page_count explicitly.
min_confidenceNoWeakest evidence a path may offer. Default high; lower it to accept an approximation.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
reportsYesOne entry per requested path, in order. A per-file failure is confined to it.
Behavior5/5

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

The description adds substantial behavioral detail beyond the annotations: one engine process for the batch, per-path results in order, error envelopes per file, failure isolation, default view and when to switch. Annotations already cover read-only/idempotent/destructive, and the description does not contradict them.

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?

Three sentences, zero fluff. The first sentence front-loads purpose and use cases; the second covers path handling and return behavior; the third gives view guidance. Every sentence earns its place.

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 tool with 6 parameters, nested objects, and a full output schema, the description covers the essential usage context: batch behavior, order of results, error isolation, and view default. It does not mention budget override or target selection, but those are adequately documented in the schema. The description is sufficient for correct invocation.

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 coverage is 100%, so the baseline is 3. The description adds valuable semantic guidance: 'Takes literal paths; expand any glob yourself first' clarifies the paths parameter, and the view default rationale ('inventory rarely needs per-target evidence') adds context beyond the schema. It does not elaborate on every parameter, but the key ones receive useful extra meaning.

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 tool probes many local documents in one call, listing concrete use cases (inventory a folder, triage a batch, compare files). It distinguishes itself from the sibling 'probe' by explicitly being the batch counterpart.

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

Usage Guidelines5/5

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

The description explicitly explains when to use this tool ('Probe many local documents in one call'), gives practical scenarios, and contrasts cost efficiency ('much cheaper than calling probe once per file'). It also gives guidance on view selection ('pass view: report when it does').

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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