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kahlilashanti

Mantis Immersive Commerce MCP

analyzeConsoleErrors

Detect console errors in your immersive commerce showroom and get targeted solutions to fix them.

Instructions

Analyze console errors and suggest fixes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsYesConsole error messages to analyze
browserInfoNoBrowser information (userAgent, etc.)
Install Server

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It says 'analyze' and 'suggest fixes,' which implies a read-only, advisory operation, but it does not state whether the tool modifies anything, what the output format is, or how browserInfo is used. Essential behavioral details such as side effects, response structure, or prerequisites are absent.

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 a single sentence that is concise and front-loads the core action ('Analyze console errors') followed by the purpose ('suggest fixes'). There is no filler or redundancy; every word contributes to the message. This is an example of effective minimalism.

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

Completeness2/5

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

For a tool with two parameters, one nested object, and no output schema, the description leaves too much uncertainty. It does not explain the nature of 'fixes' (e.g., are they code snippets, recommendations, links?), how browserInfo might influence analysis, or any limitations. Combined with a lack of annotations and sibling differentiation, an agent cannot fully anticipate the tool's behavior or results.

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?

The input schema describes both parameters (errors array and browserInfo object) fully, so schema coverage is 100% and the baseline is 3. The description does not add any extra meaning beyond what the schema already provides—it simply restates the resource. There is no enrichment of parameter semantics beyond the schema's own descriptions.

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 states a clear verb and resource: 'Analyze console errors and suggest fixes.' This is a specific action on a specific input, making the purpose evident. However, it does not distinguish itself from sibling tools like analyzeEventFlow or debugPostMessage; an agent might need to infer which tool applies to console-specific issues. Still, 'console errors' is a distinct enough resource for most cases.

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 offers no guidance on when to use this tool versus its siblings. Given the sibling list includes analyzeEventFlow, debugPostMessage, and other diagnostic tools, an agent lacks criteria to decide between them. No context is provided about scenarios that warrant this tool specifically, nor any exclusions.

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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