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tengu_v3_intel_insider_flow_coverage

What insider history exists, for which dates, and how much of it carries a Rule 10b5-1 plan flag — rows by record type, distinct filers, the transaction- and filing-date spans, and the share of rows that actually carry the plan flag. Call it before reading a plan split as complete: rows without the flag are unknown, and this says how many there are. Pass a ticker for per-company coverage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerNo

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries full burden. It transparently discloses the key behavioral nuance: rows without the plan flag are unknown, and the tool reports how many such rows exist. It also enumerates what the response will contain (record type rows, distinct filers, date spans, share flagged), going beyond a simple 'list' statement. It stops short of discussing pagination, ordering, or data freshness, but for a coverage-introspection tool this is sufficient.

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 three sentences, front-loaded with the answer to 'what does this do', followed by when-to-use and how to scope. Every sentence earns its place with no filler or redundancy.

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?

For a single-optional-parameter coverage tool with no output schema, the description fully covers the return content, the meaning of the plan flag limitation, and how to narrow the query. It is complete enough for an agent to decide when to invoke it and what to expect, without needing to infer details from sibling tools.

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?

The schema provides only a bare 'ticker' string with zero description. The tool description compensates by explaining that passing a ticker gives per-company coverage, which implicitly defines the no-ticker case as aggregate coverage. This adds meaningful context beyond the raw schema and is adequate for a single optional parameter.

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 what the tool does: reports insider history coverage by date, record type, filer counts, date spans, and the proportion of rows with a Rule 10b5-1 plan flag. It distinguishes itself from the related insider tools by explicitly telling the agent to call it before treating a plan split as complete, making its purpose and scope unmistakable.

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 explicit when-to-use guidance: call this before reading a plan split as complete, because rows without the flag are unknown and this tool quantifies them. It also explains the optional ticker parameter. It lacks explicit alternatives or when-not-to-use scenarios, but the trigger condition is clear and actionable.

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.