Skip to main content
Glama

get_protein_family

Retrieve protein family content from eggNOG by family name to get species list, protein counts, and protein IDs, with optional max species limit.

Instructions

Retrieve protein family (cluster) content from eggNOG.

Returns the list of species and proteins grouped under the given protein family name (also called a cluster).

Parameters

family_name : str The protein family / cluster name. Examples: P53, P53_tetramer, P53_TAD max_species : int, optional Maximum number of species to include (default 50).

Returns

str JSON string with species list, protein counts, and protein IDs.

Input Schema

NameRequiredDescriptionDefault
family_nameYes
max_speciesNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It implies a read-only retrieval and discloses the default species cap (50), but says nothing about permissions, rate limits, or pagination behavior. Functional but light on behavioral disclosure.

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 purpose is front-loaded in the first sentence and the docstring-style Parameters/Returns sections are scannable and free of filler. The Returns block is partly redundant given an output schema exists, costing a little tightness.

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 two-parameter read tool with an output schema present, the description covers the resource, both parameters, and the default limiting behavior. Only the missing usage/alternative guidance keeps it from being fully self-sufficient.

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?

Schema description coverage is 0%, so the description must compensate, and it largely does: it explains family_name is the cluster name and gives concrete examples (P53, P53_tetramer, P53_TAD), and documents max_species with its default of 50. It adds real meaning beyond the bare schema types.

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?

States a specific verb and resource ('Retrieve protein family (cluster) content from eggNOG') and clarifies that a family is also called a cluster, plus what the return contains. It does not explicitly differentiate itself from close siblings like get_orthologous_group or get_protein, so it stops 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 when-to-use guidance, no exclusions, and no mention of alternative tools such as get_orthologous_group or get_og_content. The reader must infer the appropriate context from the name and description alone.

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