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PatternsRadar — NSE stock screener

get_symbol

Identity and latest session for one NSE symbol: name, ISIN, listing dates, liquidity tier, last close and average delivery percentage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesthe NSE ticker, e.g. RELIANCE

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden, and it does convey the informational scope by listing return fields and 'latest session'. However, it doesn't explicitly state read-only behavior, data freshness limits, or behavior for unknown symbols, leaving some assumptions to the agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The entire definition is a single dense sentence with no filler, and it front-loads the one-symbol scope before listing return fields. The wording is slightly clipped/grammatically awkward because it lacks a verb, so it doesn't reach a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool, the field list plus the schema's symbol documentation is enough to invoke it correctly. Still, without annotations or an output schema, it doesn't cover error behavior, output structure, or the exact meaning/market context of 'liquidity tier' and 'average delivery percentage', leaving some gap.

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%, so the parameter is already well documented as an NSE ticker with the RELIANCE example. The description's 'one NSE symbol' reinforces the scope but adds no new semantic detail, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource (one NSE symbol) and enumerates the returned data fields (ISIN, listing dates, liquidity tier, last close, delivery percentage), making the tool's purpose clear. It lacks a proper verb—'Identity and latest session' is a noun phrase—and does not explicitly differentiate from search_symbols, so it falls just short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to choose get_symbol over alternatives like search_symbols or get_bars. An agent must infer from the word 'one' and the field list that this is for exact-symbol lookups, but no when-to-use or when-not-to-use guidance is given.

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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