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tracetify-mcp

by io.github.tracetify

Unlock full timeline & evidence

unlock_report

Permanently unlock a report's full timeline, evidence and SEO detail for this account. Costs credits — quote the exact price to the user first (it is in the report's timelineLocked.cost field from read_report) and call this ONLY after they explicitly agree to spend. Idempotent: unlocking an already-unlocked report never charges twice. The verdict stays on the website — you are the analyst here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesReport slug

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Beyond annotations, the description discloses key behavioral traits: it permanently unlocks content, costs credits, is idempotent (never charges twice), and leaves the verdict on the website. It also states the agent's role as analyst, which clarifies the post-call context. There is no contradiction with the annotations.

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 three focused sentences: first states the action, second covers cost and consent prerequisites, third explains idempotency and post-call expectations. Every sentence earns its place with no filler or redundancy.

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

Completeness5/5

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

For a single-parameter mutation with no output schema, the description is complete: it explains the effect, cost, consent requirement, idempotency, permanence, and account scope. The agent has enough information to select and invoke the tool safely and appropriately.

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% with one parameter, slug, described as 'Report slug'. The description does not add parameter-specific details, but the schema already fully documents the only input, so the baseline of 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 uses a specific verb and resource: 'Permanently unlock a report's full timeline, evidence and SEO detail for this account.' This clearly differentiates the tool from read-only siblings like read_report or search_reports by naming the unlock action and the exact scope of what becomes available.

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 gives explicit usage conditions: quote the exact price first, call only after explicit user agreement, and note the idempotent behavior. It does not name an alternative tool for the same task, but the prerequisite and consent requirements provide clear context for when invocation is appropriate.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: backlink_directories vs research_backlinks differ (directories vs actual backlinks), gsc_* tools cover different views of own data (overview/pages/queries), research_* tools each address a separate question (competitors, domain overview, AI mentions, backlinks), and the trace/audit/report lifecycle tools have clear roles (start, poll, read, unlock). No two tools appear to do the same thing.

Naming Consistency4/5

There is a clear pattern: verb_noun for actions (get_trace, read_report, start_trace, unlock_report, search_reports), research_* prefix for external lookups, gsc_* prefix for own Search Console data, and site_audit_* for audits. Minor inconsistency: backlink_directories doesn't follow the verb_noun style (no verb), but overall the naming is predictable and grouped logically.

Tool Count4/5

At 15 tools, this is at the upper end of the well-scoped range (3-15). Each tool serves a distinct function within the SEO/growth analysis domain, so the count feels justified rather than bloated. However, it's slightly heavy, which is why it misses a 5.

Completeness4/5

The tool surface covers the full lifecycle of growth reports (search, read, start trace, poll, unlock), ownsite GSC data (overview, pages, queries), competitor research (domain, backlinks, brand, competitors), and site audits (start/get). Minor gaps include no way to delete or manage reports beyond reading, and no direct keyword research beyond GSC queries, but the core workflows are complete.

Resources