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Glama

Institution Portfolio Summary

GetInstitutionSummary
Read-only

Get the portfolio summary header for an institutional 13F filer — published tracked 13F value (not total firm AUM), position count, top-10 / top-25 concentration, QoQ turnover, and the latest / prior report dates with the count of quarters tracked in this database. Values normally use report-date closing prices, may fall back to filer values, and can include zero for unavailable valuations. Resolve exact CIKs with SearchInstitutions; ambiguous partial names return candidates rather than selecting a filer silently.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reportDateNoQuarter-end 13F report date in YYYY-MM-DD format (defaults to the holder's latest; an off-quarter date snaps to the nearest report on or before it)
institutionNameYesInstitution name or CIK (a unique partial resolves; ambiguous partials return candidate CIKs)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedInput schema / properties / institutionName / description
      Previous value: -"Institution name or CIK (partial names resolve to the largest recently-active 13F filer)"New value: +"Institution name or CIK (a unique partial resolves; ambiguous partials return candidate CIKs)"
  2. Changed1 schema field changed
    • changedInput schema / properties / institutionName / description
      Previous value: -"Institution name or CIK (partial names resolve to the largest 13F filer)"New value: +"Institution name or CIK (partial names resolve to the largest recently-active 13F filer)"
  3. First observed

TDQS

A4.1/5.0
Behavior4/5

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

The description adds meaningful behavior beyond the readOnly/destructive annotations: it clarifies the metric is not total firm AUM, states possible fallback to filer values, notes zero can represent unavailable valuations, and explains the ambiguous-name behavior. This gives agents important expectations about output values and name resolution.

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 description is dense but efficient, front-loading the core purpose and output fields, then adding valuation caveats and name-resolution guidance. Every sentence contributes useful information, though the long first sentence is somewhat heavy for a quick scan.

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?

Without an output schema, the description compensates by enumerating the specific returned metrics and caveats about price sources and zero values. It also covers the key caller concern of name ambiguity. Minor gaps such as error behavior or pagination are not critical for a summary-header 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%, so the parameters are already fully documented. The description adds some context around name matching ('ambiguous partials return candidates') and implies the output uses report-date prices, but it does not materially extend the schema's parameter documentation.

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 ('Get') and resource ('portfolio summary header for an institutional 13F filer'), then enumerates the exact contents: tracked 13F value, position count, concentration, turnover, and report dates. This clearly distinguishes it from sibling tools like GetInstitutionPortfolio or GetInstitutionQuarterlyActivity.

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 concrete usage directive: resolve exact CIKs with SearchInstitutions, and warns that ambiguous partial names return candidates rather than auto-selecting. It does not explicitly contrast with sibling tools or state when not to use it, but the focused resource definition makes the intended use clear.

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

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, with detailed descriptions that cross-reference related alternatives. A few near-duplicate names could cause misselection, notably SearchDocument versus SearchDocuments and GetCftcPositioning versus GetLatestCftcPositioning.

Naming Consistency5/5

Tool names consistently follow a VerbNoun camelCase pattern: Get for retrievals, Search for discovery, List/Read for document access, and Add/Close/Remove/Update/Watch/Create/Delete for portfolio mutations. Despite the large count, there is no mixing of naming conventions or unpredictable verb styles.

Tool Count1/5

108 tools is an extreme surface area, far beyond the 3-15 well-scoped range and well past the 25+ threshold. Even for a broad financial data platform, this creates a heavy selection burden and substantial context overhead for agents.

Completeness4/5

The server covers an unusually wide domain: prices, fundamentals, SEC filings, options, insider activity, 13F holdings, short interest, macro data, funds, IPOs, and full portfolio lifecycle management. Notable gaps remain, such as a basic company profile/ticker-resolution tool, dividend history, and analyst estimates, so it is not a perfect 5.