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Glama

Analyze one ticker

analyze_ticker
Read-only

Run a deep-value workup on a US-listed ticker: scan disqualifiers, then compute tangible book, NCAV, NNWC, and net cash from SEC filings. Returns Schloss/Graham verdicts or stops if disqualified.

Instructions

Full deep-value workup for one name: the disqualifier scan first, then tangible book, NCAV, NNWC and net cash computed from SEC XBRL line items, then a current price, then the Schloss and Graham verdicts. Every figure carries the filing it came from and the date it was filed. Returns the disqualifier findings and stops before valuation if the name is disqualified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesUS-listed ticker symbol, e.g. "AAPL". Case-insensitive.
skipDisqualifiersNoCompute valuations even when a hard disqualifier is present. Off by default, because the balance sheet a disqualified name reports is the thing in doubt.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds valuable behavioral context beyond that: early termination when disqualified, provenance metadata (filing and date per figure), and the ordered pipeline. It does not discuss runtime cost, rate limits, or auth requirements, keeping it at a solid 4.

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?

Three sentences, front-loaded with the full pipeline and ending with the early-exit rule. Every clause adds specific, non-redundant information, and there is no filler.

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 composite read-only analysis tool with no output schema, the description adequately covers the process, provenance, and conditional early return. It would benefit from a brief note on the shape of the returned report or typical latency, but nothing essential is missing for correct invocation.

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 description coverage is 100%, so both parameters are fully documented in the schema itself. The description implicitly references the gated valuation behavior that skipDisqualifiers controls but does not add syntax, format, or meaning beyond the schema. Baseline 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?

States a specific verb (analyze) and resource (one ticker) and enumerates the exact pipeline: disqualifier scan, tangible book, NCAV, NNWC, net cash, price, Schloss and Graham verdicts. This level of detail distinguishes it from a pure disqualifier sibling even without naming that sibling.

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?

Describes the internal gating condition (stops before valuation if disqualified) and the default behavior implied by that, giving clear context for when the tool applies. It does not explicitly name an alternative like check_disqualifiers for users who only want the first stage, so it falls short of a full when/when-not/alternatives statement.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.