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timps_competitor_tracker

Track competitor pricing, feature updates, job postings, and public sentiment to generate a competitive intelligence brief. Input competitor names or URLs; monitor defined focus areas for actionable market insights.

Instructions

Monitor competitors for pricing changes, new features, job postings, and public sentiment. Returns a competitive intelligence brief.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
competitorsYesCompetitor names or URLs
focus_areasNoOptional: ['pricing','features','hiring','reviews']
Behavior3/5

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

No annotations are provided, so the description carries the burden. It states the tool 'monitors' and 'returns a brief,' implying read-only behavior. However, it doesn't disclose whether this makes network calls, has rate limits, requires API keys or authentication, or if it performs live tracking versus static analysis. The output is described as a 'brief' but not its format or size. Some behavior is disclosed but not enough for a monitoring tool that likely performs external fetching.

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?

The description is two sentences, front-loads the main action ('monitor competitors for...'), and uses a single output statement. It's concise and well-structured. It could add a tiny bit more detail without bloat.

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

Completeness3/5

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

The tool has a moderate complexity (array input, optional enum), and the description covers the what and the return. But absence of annotations and no mention of data sources, timeframes, or specific deliverables beyond 'brief' leaves gaps. For a tool that gathers external competitor data, important context (live fetch vs. stored data, scope, refresh) is missing. Given zero annotation coverage, the description should compensate more.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% (both parameters described). The description adds domain context by listing 'pricing changes, new features, job postings, and public sentiment' which correspond to the focus_areas enum values (pricing, features, job postings?, sentiment?), bridging schema to intent. However, it doesn't explain the competitors parameter beyond 'names' — basic semantics are captured in schema.

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 clearly states the tool monitors competitors across four specific dimensions (pricing, features, job postings, sentiment) and returns a competitive intelligence brief. The verb 'monitor' plus the resource 'competitors' is specific, and the output is described. However, it doesn't explicitly distinguish itself from other intelligence-gathering siblings like timps_deep_research_agent or timps_trend_monitor, though its narrower focus is implied.

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?

There is no explicit guidance on when to use this tool versus alternatives. It doesn't say 'use this when you need competitor intelligence' or mention scenarios where it's not appropriate. Among a large set of sibling tools, this lacks any differentiation cues.

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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