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nemanjavlahovic

InstrumentsMCP

performance_baseline

Identify performance regressions by comparing current profile results against saved baselines. Save, list, or delete baselines to track changes over time.

Instructions

Save, compare, list, or delete performance baselines to track regressions over time.

  • save: Store profile results as a named baseline (pass the JSON output from any profile tool)

  • compare: Diff current results against a saved baseline — shows deltas and regression/improvement status

  • list: Show all saved baselines

  • delete: Remove a saved baseline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction: save | compare | list | delete
nameNoBaseline name, e.g. 'v1.0' or 'pre-optimization' (required for save/compare/delete)
metricsNoJSON string of profile results from any profile_* tool (required for save/compare)
Behavior3/5

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

No annotations exist, so the description must carry the full burden. It discloses the actions (save, compare, list, delete) but lacks details on persistence, idempotency of compare, or whether delete is permanent. It is adequate but not comprehensive.

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 description is concise with a clear overall purpose followed by four brief bullet points. Every sentence adds value, and it is front-loaded for quick understanding.

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 no output schema, the description does not explain return values (e.g., list returns names, compare returns deltas). However, it covers the main usage and complements sibling tools well. Almost complete.

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 coverage is 100%, so parameters are well described in the schema. The description adds minimal extra value beyond repeating the enum options and clarifying that metrics come from profile tools. 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 clearly states the tool's purpose: 'Save, compare, list, or delete performance baselines to track regressions over time.' It then enumerates each action, distinguishing it from sibling profiling tools that generate the metrics but do not manage baselines.

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 provides context by explaining that for 'save' and 'compare' actions, metrics should be JSON from profile tools. However, it does not explicitly state when to use this tool versus alternatives or when not to use it.

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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