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Seo Competitors

by io.github.pipeworx-io

Recent Alerts

recent_alerts
Read-onlyIdempotent

Pull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. "sec_8k") and/or since (ISO timestamp). Set mark_read:true to flag returned events read so the next call only shows newer ones. Polls work fine; the same feed is also at GET registry.pipeworx.io/alerts.json for scripts and dashboards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoOptional — filter to one subscription type.
limitNoMax events to return (1-200, default 50).
sinceNoOptional ISO timestamp — return events fired_at >= this time.
mark_readNoFlag the returned events read in the same call (default false).
unread_onlyNoReturn only events where read_at is null (default false).

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint and idempotentHint, so the description's extra detail about mark_read side effects and the persisted feed adds valuable context. The description is transparent about the optional write behavior (mark_read) and the feed's persistence. No contradiction with annotations is found.

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 two sentences, front-loaded with the primary purpose, and every sentence adds value (return payload, filtering, mark_read, polling/alternative endpoint). No redundant or filler content.

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?

Despite no output schema, the description explains the return structure (source, citation_uri, payload), filtering options, mark_read behavior, and even provides a fallback HTTP endpoint. For a tool with 5 optional parameters and no nested objects, this is a fully complete description.

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%, so parameters are already documented. The description adds an example for type (e.g., 'sec_8k') and clarifies the semantics of mark_read. This goes slightly beyond the schema descriptions, improving parameter understanding for the agent.

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 clearly states the tool's function: 'Pull fired events from your subscription feed' and 'Returns the most recent alerts the evaluator has written to your persisted feed.' It specifies the resource (subscription feed) and mentions key data fields (source, citation_uri, payload), distinguishing it from siblings like recent_changes or list_subscriptions.

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 clear context for use, such as filtering by type and since, and explains mark_read behavior for polling. It also mentions the HTTP endpoint as an alternative for scripts/dashboards, which is a form of alternative guidance. However, it does not explicitly name sibling tools or state when not to use this tool, stopping short of a perfect score.

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

A3.8/5.0
Disambiguation2/5

Several tools are near-duplicates or easily confused: ask_pipeworx_beta is explicitly identical to ask_pipeworx, ai_visibility_check overlaps with scan_competitor_ai_presence, and polymarket_edges, polymarket_arbitrage, and bet_research all target opportunity discovery. While many tools are distinct, the boundaries between these clusters are unclear enough to cause misselection.

Naming Consistency4/5

The vast majority of tools use a consistent lowercase snake_case convention with descriptive noun/verb patterns (e.g., polymarket_edges, entity_profile, validate_claim, resolve_entity). Minor deviations like seo_domain_ranked_keywords and ask_pipeworx_beta are slightly off-pattern, but the overall style is predictable.

Tool Count2/5

32 tools is above the threshold where a set starts to feel bloated, especially for a server named "Seo Competitors". The count includes many unrelated subsystems—Polymarket betting, memory, subscriptions, and generic data routing—making it feel like a kitchen sink rather than a focused SEO competitor toolkit.

Completeness2/5

For a server claiming to support SEO competitor analysis, the surface is incomplete: it offers a keyword-ranking tool and AI visibility checks, but lacks standard competitor SEO capabilities like backlink analysis, rank tracking over time, content-gap analysis, or site audits. The broader data/query tooling is extensive, but it doesn't fill the gaps in the advertised domain.

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