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souvikdu

perfonext-render-mcp

Compare Renders

compare_renders

Compare two render profiles to rank regressions, improvements, additions, and removals, identifying performance changes between versions.

Instructions

Diff two loaded render profiles and rank the biggest regressions, improvements, additions, and removals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many changed components to include. Defaults to 10.
minDeltaMsNoMinimum absolute total render delta in ms for changed components. Defaults to 0.
baseProfileIdYesBaseline profile ID from load_render_profile
currentProfileIdYesCurrent profile ID from load_render_profile

Schema Changelog

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

  1. First observedv0.5.2

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It clearly communicates a non-destructive analytical operation, the fact that it diffs two existing profiles, and the four ranked result categories. It does not detail response shape or edge cases, but the core behavior is accurately and sufficiently disclosed.

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?

The entire description is one tight, front-loaded sentence with no filler. It states the operation, the resource, and the output dimensions in under 20 words, and every part contributes to understanding the tool.

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?

Given the moderate complexity, fully documented parameters, and no output schema, the description provides enough invocation-critical detail: the two required IDs, the loaded-profile prerequisite, and the ranked diff categories. It could be more explicit about output ordering or result shape, but nothing essential to selecting or calling the tool is missing.

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 input schema already documents every parameter. The description adds a light conceptual framing by calling the parameters 'loaded render profiles' and implying ranking, but it does not provide meaningful semantics beyond what the schema already states. Baseline 3 is appropriate.

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 uses a specific verb ('Diff') and a clear resource ('two loaded render profiles'), then enumerates the exact output categories: regressions, improvements, additions, and removals. This distinguishes it meaningfully from siblings like get_slow_components or get_render_summary, which summarize or list rather than compare two profiles.

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 implies a clear prerequisite: profiles must already be loaded, matching the sibling load_render_profile. It provides clear context for when to use the tool—comparing two profiles—but does not explicitly state when not to use it or name a specific alternative, so it stops short of a 5.

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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