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roastify_delete_operator_credential

Remove a single operator secret field.

Deletes one key from the operator's encrypted credential blob without touching the others — the field-level counterpart to forget_credentials, which wipes the whole row. Use it to retire a leftover after an SDK cutover (a Prefect key after Modal, or a stored but untemplated orphan like anthropic_api_key) without taking the operator down for a full re-delivery.

Stored-but-untemplated fields are first-class: the delete is keyed on what is vaulted, not on what the current template declares. Idempotent — already-absent fields report removed: false without rewriting the vault. RESTRICTED to the operator — requires proof (nsec-signed kind-27235 or a cached dpop_token phrase); patron proofs are rejected. A deletion is as destructive as a write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldYesThe operator credential field to remove (templated or not).
dpop_tokenYesOperator proof for this tool.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A5/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden, and it excels: it discloses idempotency ('already-absent fields report removed: false without rewriting the vault'), keying semantics ('what is vaulted, not what the current template declares'), and destructiveness ('as destructive as a write'). The proof requirements and rejection of patron proofs are also clearly stated.

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?

The first sentence delivers the core action, and each subsequent sentence adds a distinct, non-redundant fact: scope, use case, idempotency, privilege, and destructiveness. The length is justified by the tool's security- and semantics-rich nature; nothing feels padded.

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 sensitive mutation tool with no annotations, the description covers invocation intent, preconditions, security requirements, edge behavior, and side effects. The presence of an output schema means return-format explanation is unnecessary. An agent has everything needed to select and invoke this tool correctly.

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?

Although the input schema covers basics, the description adds deep meaning: 'field' is explicitly templated-or-not and vaulted-or-templated, while 'dpop_token' is enriched with concrete proof forms (nsec-signed kind-27235 or cached dpop_token phrase). This goes well beyond the schema's one-line descriptions.

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 opens with a precise verb-object pair — 'Remove a single operator secret field' — and immediately clarifies it deletes one key from the encrypted credential blob. It explicitly distinguishes itself from the sibling 'forget_credentials' (whole-row wipe) and from patron-credential tools by emphasizing operator scope. This is a model example of sibling differentiation.

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?

It names the exact scenario — retiring leftovers after an SDK cutover, like a Prefect key after Modal or an untemplated orphan — and contrasts with 'forget_credentials' for full re-delivery. It also declares eligibility constraints: operator-only, requires specific proof, and patron proofs are rejected. The agent knows when to call it and when not to.

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 target clearly distinct resources—patron balances vs. operator Authority balances, design text vs. full design fetches, operator vs. patron credentials—and the verbose descriptions carefully separate request/receive flows. A few pairs could still be confused at a glance, such as service_status/session_status, forget_coupon/delete_coupon, and get_design_text/fetch_design.

Naming Consistency4/5

All tools share the roastify_ snake_case prefix and mostly follow a verb_noun pattern like list_, get_, update_, delete_, and create. However, several noun-only names (service_status, session_status, account_statement, oracle_about) and the inconsistent forget_ vs. delete_ distinction for credential/coupon removal keep it from being fully consistent.

Tool Count1/5

69 tools is an extreme count for a single MCP surface and far exceeds the 25+ threshold. Even though the tools span many subdomains—design, payments, coupons, credentials, pricing, notarization, oracle—the sheer number will be heavy on agent context and selection accuracy.

Completeness3/5

Core workflows are largely covered: design storage/editing, coupon lifecycle, credential vaults, credit purchasing, pricing models, notarization, and the oracle all have reasonable read/write surfaces. However, session_status explicitly tells not_registered operators to call register_operator, which does not exist in the tool set, and design editing lacks any delete-element operation, leaving notable dead ends.