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tengu_v3_research_fetch_url

Read ONE specific page you already have the URL for — call ONLY after a search returned the link, never to discover pages. Returns the page's readable body as clean markdown with title, author, published date, and a domain trust tier; handles paywalls. Read at most the 2-3 most load-bearing links per question. NOT a search tool: tengu_v3_research_web_search finds the links this tool reads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
max_charsNo

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the return format (clean markdown with title, author, published date, domain trust tier) and the paywall-handling behavior. However, it omits the truncation behavior implied by max_chars (e.g., body truncated to max_chars) and potential failure modes for unreachable pages. Still well above minimum viability.

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 compact and front-loaded: it opens with the core purpose, then covers usage limits, output, and the critical distinction from the search tool. Every sentence adds value, with no redundancy or fluff.

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?

For a simple URL-fetch tool, the description covers purpose, usage, output format, paywall handling, and the relationship to the search sibling. The primary gap is the undocumented max_chars parameter and its truncation behavior, which would make the description nearly complete.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. While 'url' is contextually explained ('the URL for'), the 'max_chars' parameter is not mentioned at all. The agent is left to guess the parameter's effect (likely output truncation), which is a significant gap given the schema provides no description.

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 'Read ONE specific page you already have the URL for' — a specific verb ('Read') plus a specific resource ('ONE specific page'), with the key constraint that the URL must already be known. It explicitly distinguishes itself from search tools by naming tengu_v3_research_web_search, and the output characteristics (markdown, metadata, trust tier) further clarify its role.

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?

The description gives explicit usage timing: 'call ONLY after a search returned the link, never to discover pages.' It also provides a quantitative guideline ('at most the 2-3 most load-bearing links per question') and names the alternative tool for discovery. This is exemplary guidance.

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

C2.9/5.0
Disambiguation2/5

With 336 tools, there is substantial overlap. Over a dozen health/status tools share nearly identical 'is the system healthy?' descriptions (e.g., tengu_status, tengu_ready, tengu_ml_health, tengu_v3_system_health, tengu_v3_stream_status), and multiple single-ticker analysis (tengu_ml_predict, tengu_copilot_score_ticker, tengu_v3_intel_ml_prediction) and top-picks (tengu_copilot_top_picks, tengu_ml_top_picks, tengu_v3_trade_setups) tools have poorly defined boundaries. Agents would frequently misselect.

Naming Consistency2/5

The server mixes no-version (tengu_crypto), v2 (tengu_v2_drift), v3 (tengu_v3_intel_*), and copilot (tengu_copilot_*) families, and within families there is inconsistent verb/noun ordering (tengu_v3_research_fetch_url vs tengu_v3_news_summary). While subfamilies like tengu_v3_private_markets_* are internally consistent, the overall naming pattern is chaotic and unpredictable.

Tool Count1/5

336 tools is far beyond any reasonable tool set size, even for an all-in-one financial data platform. This extreme count creates choice paralysis, high latency in tool selection, and makes the server effectively unusable for autonomous agents. The calibration guideline marks 50+ as extreme; this is nearly 7x that threshold.

Completeness4/5

The platform covers a vast domain: equity and crypto prices, fundamentals, insider trading, options, news (including crypto and FX), private markets, streaming data, risk metrics, and execution planning. There are minor gaps (no direct multi-ticker comparison tool, no order placement), but the surface is remarkably comprehensive for an analysis-focused server.