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competlab

competlab-mcp-server

get_tech_trust_history

Retrieve paginated history of Tech & Trust monitoring runs to compare competitor changes over time. Access completion timestamps and run IDs to analyze historical snapshots and track technology stack evolution.

Instructions

Get paginated history of Tech & Trust monitoring runs with completion timestamps. Use this to compare changes over time — each run captures a full snapshot of all competitors. Retrieve specific run data with get_tech_trust_run_detail using the runId from this response. Read-only. Returns paginated JSON array with pagination.hasMore flag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID (from list_projects)
pageNoPage number (1-indexed, default: 1)
limitNoItems per page (default: 20, max: 100)
Behavior4/5

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

With no annotations provided, the description carries the full burden: it explicitly declares 'Read-only' safety, explains the data content ('each run captures a full snapshot of all competitors'), and describes the return format ('paginated JSON array with pagination.hasMore flag') since no output schema exists. Minor gap on rate limits or auth requirements.

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?

Four tightly constructed sentences: purpose, usage context, sibling navigation, and safety/return format. Every sentence earns its place with zero redundancy. Information is front-loaded with the core action in the first sentence.

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?

Compensates well for missing annotations and output schema by describing the return structure (JSON array with hasMore flag) and explaining the snapshot nature of the data. Could be improved by briefly mentioning what fields each history item contains (e.g., runId, timestamp) beyond just the pagination flag.

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 description coverage is 100% (all 3 parameters have clear descriptions). The description does not add parameter-specific syntax or semantics beyond the schema, focusing instead on high-level usage patterns. Baseline 3 is appropriate 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.

Purpose5/5

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

The description opens with a specific verb ('Get'), clear resource ('paginated history of Tech & Trust monitoring runs'), and scope ('with completion timestamps'). It effectively distinguishes this from sibling tools like 'get_tech_trust_dashboard' (current state) and 'get_tech_trust_run_detail' (single run) by emphasizing the historical list aspect.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance ('Use this to compare changes over time') and explicitly names the alternative tool for specific run retrieval ('Retrieve specific run data with get_tech_trust_run_detail using the runId from this response'), creating a clear workflow chain between the list and detail endpoints.

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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