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ApexTick Market Data & Options MCP

analyze_ticker

Read-onlyIdempotent

Fundamental valuation snapshot for a single ticker: company valuation multiples (market cap, TTM revenue, P/E, P/B, P/S, EPS, ROE, dividend yield) alongside session range positioning and 52-week high distance. Use for fundamental valuation analysis; does not fetch technical indicators, earnings dates or option chains.

Input Schema

NameRequiredDescriptionDefault
symbolYesTicker in standard market notation, e.g. AAPL, BRK-B, BTC-USD, EURUSD=X

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint, so the safe-read profile is covered. The description adds substantive scope information by listing the returned metrics, but says nothing about data freshness, currency of TTM figures, or behavior for an unrecognized symbol. That is adequate but not rich behavioral context.

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?

Two sentences, front-loaded with what is returned, then the routing/exclusion clause. The metric list is dense but every item earns its place for an agent deciding whether this tool answers its question.

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?

With no output schema, the description correctly enumerates the return payload, and the single required parameter is fully covered by the schema. The only gap is error/freshness behavior for invalid or untraded symbols, which is minor for a one-parameter read-only snapshot tool.

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% and the single `symbol` parameter already documents accepted notation with examples (AAPL, BRK-B, BTC-USD, EURUSD=X). The description only implies the single-ticker constraint ('a single ticker'), adding little beyond the schema, so the baseline 3 applies.

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 names a specific verb and resource (a fundamental valuation snapshot for a single ticker) and enumerates the exact fields returned: market cap, TTM revenue, P/E, P/B, P/S, EPS, ROE, dividend yield, plus session-range and 52-week-high positioning. It explicitly rules out technical indicators, earnings dates and option chains, so an agent can distinguish it from get_options_chain and the quote/technical siblings without opening any schema.

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?

It gives a clear trigger ('Use for fundamental valuation analysis') and a negative list that implicitly routes option-chain requests to get_options_chain. It stops short of naming siblings like get_quote or screen_market, or of stating when a simple quote is preferable to a full valuation snapshot.

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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