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Opentreeoflife

by io.github.pipeworx-io

Generate llms.txt

generate_llms_txt
Read-onlyIdempotent

Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull URL of the site to summarize, e.g. "https://example.com" or a specific landing page.
max_linksNoMaximum number of link entries to include (default 25, max 50).

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate read-only, open-world, idempotent, and non-destructive behavior. The description adds value by detailing the specific actions (fetches page, extracts title/description/key links) and output format, providing context beyond 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 concise (three sentences) and front-loaded with the core purpose. Every sentence adds value without redundancy.

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?

Given no output schema, the description adequately explains the output format and usage context. It is complete for a simple generation tool, though it could mention potential edge cases or error behavior.

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 clear descriptions for both parameters. The description does not add significant new meaning beyond the schema, so a baseline score 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 clearly states the action 'Generate' and the specific resource 'a production-ready llms.txt file for any URL.' It explains the process (fetches, extracts, emits) and is distinct from sibling tools like 'scan_competitor_ai_presence' which focuses on scanning rather than generation.

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 lists three explicit use cases: getting a client's site indexed, drafting for own project, and auditing competitors. However, it does not specify when not to use this tool or mention alternatives, which would have improved clarity.

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

A3.7/5.0
Disambiguation3/5

Many tools have clear distinct purposes, but ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research have overlapping functionality with subtle differences, causing potential confusion. Overall, most tools are distinguishable.

Naming Consistency2/5

Tool names use a mix of patterns: some follow verb_noun (validate_claim, resolve_entity), others are compound nouns (polymarket_arbitrage, ai_visibility_check), and some are plain verbs (recall, forget). Inconsistent style and length reduce predictability.

Tool Count3/5

At 34 tools, the count is on the high side for a typical server, but it might be manageable if the scope were broad. However, the server name 'Opentreeoflife' suggests a narrow biological focus, making the large count feel mismatched and excessive.

Completeness1/5

For a server named after a tree-of-life database, only three tools (match_names, common_ancestor, taxon_info) are relevant. Missing fundamental operations like listing children, searching taxa, or retrieving phylogenetic trees leaves the domain severely incomplete.

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