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get_portfolio_agent_feedback_summary

Retrieves the central LaunchFiles portfolio agent feedback ledger, per-product friction counts, blocker counts, and proposed AX Repair Work Orders across all 24 portfolio products.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of recent feedback entries to return (default 25)
severityNoOptional severity filter (blocker, friction, suggestion)
productIdNoCamelCase alias for product_id
product_idNoOptional product slug or alias to filter feedback entries and work orders

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. 'Retrieves' does signal a read-only, non-mutating operation and the scope ('across all 24 portfolio products') plus the contents of the response add real context. However, it says nothing about pagination behavior, result ordering, volume, or permissions, which matters for an all-products aggregate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the verb leads and the returned data is enumerated. It is dense with internal jargon ('AX Repair Work Orders') but nothing is wasted.

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

Completeness3/5

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

With no output schema and no annotations, the description partially compensates by listing what the response contains (ledger, friction counts, blocker counts, work orders). It still omits response structure, pagination, and ordering, leaving gaps for an agent needing to know what it will actually receive.

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 all four parameters (limit, severity, productId, product_id) are already documented in the schema. The description adds no additional meaning about filtering behavior or how productId and product_id interact. Baseline 3 applies when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Retrieves) and enumerates the concrete resources returned: feedback ledger, per-product friction counts, blocker counts, and AX Repair Work Orders, scoped to all 24 portfolio products. This is well beyond a restatement of the name, though it never names a sibling to distinguish itself from get_vertical_redesign_spec or run_ux_radar_proof.

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

Usage Guidelines2/5

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

The description gives no when-to-use guidance, no exclusions, and no alternatives. Given a crowded sibling set that includes submit_agent_feedback and assorted radar/spec tools, the agent is left to infer that this is the read-only aggregate counterpart to submit_agent_feedback.

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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