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MisarSEO MCP Server

log_analyzer_list_uploads

Read-onlyIdempotent

A project's server-log uploads and their parse status — the Log File Analyzer / Bot Analytics feature. Each row is { id, fileName, sizeBytes, status, lineCount, parsedLineCount, skippedLineCount, errorMessage, createdAt, completedAt }. status is one of queued/parsing/completed/failed. lineCount/parsedLineCount/skippedLineCount are null until parsing completes — an absent count is not zero. FREE (no credits). Pair with log_analyzer_upload to add a log, log_analyzer_daily_summary / log_analyzer_top_paths for the report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesRequired. The MisarSEO project ID to scope this call to. Get one from list_projects.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Adds meaningful context beyond annotations: it explains the semantics of null counts ('an absent count is not zero') and the status enum values, plus the FREE/no-credit cost signal. Annotations already cover readOnly/idempotent safety, so this adds real value. It stops short of covering pagination/order of results.

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?

Front-loaded with the resource and its scope, then the row shape, then status semantics, then sibling pairing. Efficient for the amount of information, though the embedded JSON row schema makes it dense.

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 1-param read tool with no output schema, the description covers the return shape, field semantics, status values, nullability, and cost. It omits ordering/pagination behavior, which a listing tool's caller would reasonably want to know, keeping it below a 5.

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% and the single projectId parameter's description already tells the agent where to get a valid ID. The description adds no parameter-level detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb+resource ('A project's server-log uploads and their parse status') and scopes it to the Log File Analyzer / Bot Analytics feature. Distinct from siblings, which have no other upload-listing tool. The return-row shape reinforces exactly what is listed.

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?

Explicitly names the sibling to pair with for adding a log (log_analyzer_upload) and which tools to use for reports (log_analyzer_daily_summary / log_analyzer_top_paths). Clear routing context, though it does not state when-not to use it (e.g., no exclusion of other log tools beyond the named siblings).

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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