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get_fix_list

Read-onlyIdempotent

Get the brand's fix list: fixes you chose to do, their status, and once newer data is saved, whether the number moved after you marked the fix done. Read only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoall
brand_idNoBrand id from list_brands. Leave it out to use your most recently updated brand.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the appended 'Read only' is redundant. The one useful addition is the data-freshness nuance: the 'did the number move' signal only appears 'once newer data is saved,' which tells the agent results can lag. That is a genuine behavioral detail beyond the annotations, but it is thin.

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 that leads with the verb and resource before listing contents. It is dense but earns most of its words, though the mid-sentence freshness clause makes it slightly harder to parse than necessary.

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?

For a read-only tool with no output schema, the description sketches the return contents (fixes, statuses, whether the number moved) and notes the data-freshness caveat, while annotations carry the safety profile. It is largely complete, with only the filter parameters left unexplained.

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?

With only 50% schema description coverage, the description should compensate for the undocumented parameters, but it never mentions 'status' or 'brand_id'. The schema does describe brand_id, and the status enum values are self-explanatory, so the description adds nothing about filtering behavior or the 'all' default.

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?

The description gives a specific verb+resource ('Get the brand's fix list') and enumerates the returned content: the fixes chosen, their status, and whether the metric moved after completion. It is clearly distinct from siblings like add_to_fix_list and mark_fix_done, but it never names an alternative, so sibling differentiation is implicit rather than explicit.

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

Usage Guidelines3/5

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

Usage context is implied through 'fixes you chose to do' and 'after you marked the fix done,' which hints at the add/mark/get workflow, but there is no explicit when-to-use guidance, no when-not-to-use, and no named alternative (e.g. mark_fix_done for writes). The agent must infer the routing.

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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