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Execute Processing Batch

execute_processing_batch

Run a single QGIS algorithm repeatedly on multiple input sets, tracking each result's success or error status. Ideal for batch processing identical tasks across varied parameters.

Instructions

Run one algorithm once per parameter dict in 'parameters_list'. Returns a per-run result with index and success/error status. Use for applying the same operation over many inputs in a single round-trip.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
algorithmYes
parameters_listYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries full burden. It states it returns per-run result with index and success/error status, but lacks details on side effects, permissions, or limits. Adequate but minimal.

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?

Two concise sentences, front-loaded with the core action and result. No superfluous text.

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

Completeness2/5

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

Given no annotations, no output schema, and 0% schema coverage, the description is insufficient. It fails to specify algorithm sources, error handling, or dict constraints, leaving significant gaps for agent decision-making.

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

Parameters2/5

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

Schema description coverage is 0%, and the description adds no meaning beyond naming 'parameter dict' and 'parameters_list'. It does not explain the 'algorithm' string or expected structure of dict items, leaving the agent uninformed.

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 executes one algorithm per parameter dict in a list, returning a per-run result with index and status. This is specific and distinct from sibling tools like 'execute_processing' which likely handles single runs.

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 applying the same operation over many inputs in a single round-trip,' providing clear context. It does not list exclusions or alternatives but implies batch usage.

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

Deploy Server

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