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Manage API Credentials

encode_manage_credentials
DestructiveIdempotent

Store, check, or clear ENCODE API credentials to access restricted or unreleased genomic data. Credentials are saved securely in your operating system's keyring.

Instructions

Manage ENCODE API credentials for accessing restricted/unreleased data.

Most ENCODE data is public and requires no authentication. Credentials are only needed for unreleased or restricted datasets.

Credentials are stored securely in your OS keyring (macOS Keychain, Linux Secret Service, Windows Credential Locker) and never in plaintext.

WHEN TO USE: Use only for accessing unreleased/restricted ENCODE data. Public data requires no authentication. RELATED TOOLS: encode_search_experiments

Args: action: What to do: - "store": Save new credentials (requires access_key and secret_key) - "check": Check if credentials are configured - "clear": Remove stored credentials access_key: Your ENCODE access key (only for action="store") secret_key: Your ENCODE secret key (only for action="store")

Returns: JSON with action result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
access_keyNo
secret_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate destructive and idempotent behavior. The description adds security context (OS keyring storage, no plaintext) and confirms action results as JSON. No contradictions.

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?

Well-structured with clear sections: purpose, security note, when-to-use, related tools, args, returns. Every sentence adds value without redundancy.

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

Completeness5/5

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

For a credential management tool with output schema present, the description covers all necessary information: purpose, usage, parameter details, security, and return format. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema coverage, the description thoroughly explains each parameter: action's three values and when access_key/secret_key are required, adding meaning beyond the schema's enum and types.

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 clearly states the tool manages ENCODE API credentials for restricted/unreleased data, with specific actions (store, check, clear). It is distinct from siblings like encode_search_experiments which focus on data queries.

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

Usage Guidelines5/5

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

Explicitly tells when to use (only for unreleased/restricted data) and when not (public data needs no auth). Names related tool encode_search_experiments, providing clear context for alternative tools.

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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