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Stride — AI software delivery platform

Run process insights

stride.run_process_insights
Idempotent

Re-run the rule-based insight generators for ONE process (Optimize) against its latest event stream — no AI spend. Additive: writes new ProcessInsight rows, never edits or deletes. Returns { generated, deduped }; read the insights with stride.list_process_insights. Use after changing a process instead of regenerating the whole project.

Input Schema

NameRequiredDescriptionDefault
processIdYesProcess UUID (from stride.list_processes).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Despite readOnlyHint=false, the description clarifies the write is strictly additive ("writes new ProcessInsight rows, never edits or deletes"), consistent with destructiveHint=false and idempotentHint=true. It also discloses the economics ("no AI spend") and the return shape { generated, deduped }, which no annotation or output schema provides.

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 tightly packed sentences with no filler; the operation and its single-process scope lead, followed by safety, return shape, and the routing alternative.

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?

Covers everything needed for a one-parameter mutation: what runs, what is written vs. left untouched, cost implication, return value, and how to read the results. Absence of an output schema is compensated by the inline return shape.

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?

Only one parameter and schema coverage is 100%, with the schema already documenting processId as a UUID from stride.list_processes. The description reinforces single-process scoping ("ONE process") but adds no format or sourcing detail beyond the schema, so the 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 specific verb and resource: re-runs rule-based insight generators for a single process against its latest event stream, scoped to Optimize. An agent can distinguish it from stride.list_process_insights (read) and stride.generate_process (project-wide generation) without opening any schema.

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?

Explicitly says when to use it ("after changing a process") and what it replaces ("instead of regenerating the whole project"), and names the sibling to use for reading results. Both the when and the alternative are given.

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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