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issue_api_key

Issue a fresh ta_data_* API key for your current tenant. Useful for pasting into /add-database or configuring a separate integration. The new key is tied to your existing plan tier. Rate-limited to 5 issuances per tenant per day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
planNo
userNo
errorNo
usageNo
key_idNoNon-secret fingerprint of the issued key. Safe to log and surface in UI.
statusYes
api_keyNoOne-time API key secret. Returned only on successful creation, in both structuredContent.api_key and content[0].text — save it immediately. The server stores only sha-256 of the secret; once this response is lost, the key is unrecoverable and must be rotated. Matches AWS IAM / Stripe / GitHub PAT one-time-reveal semantics.
tenantIdNo
retry_after_sNo
credential_returned_onceNo

TDQS

A4.2/5.0
Behavior3/5

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

The description adds useful behavior beyond annotations: the key is 'fresh', tied to plan tier, and rate-limited to 5/day. However, it does not disclose whether issuing a new key invalidates or replaces existing keys, which is a critical security-related behavior for this type of tool. Annotations already indicate non-read-only, non-destructive, but this gap remains.

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, all informative and front-loaded with the core action. No filler or redundant restatements of the name or annotations. Each sentence adds value: purpose, use cases, restrictions.

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?

Given the tool has zero parameters and an output schema exists, the description covers the essential aspects: purpose, usage scenarios, plan tier, and rate limit. The only notable omission is whether old keys remain valid, which is important for security but not fully required for basic invocation. The output schema presumably provides return details.

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?

The input schema has no parameters, and schema coverage is effectively 100%. The description adds no parameter-specific semantics because there are none, and the baseline for zero-parameter tools is 4. It also mentions the key format (ta_data_*), which helps the agent understand what the tool returns.

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 uses a specific verb and resource: 'Issue a fresh ta_data_* API key for your current tenant.' It clearly distinguishes from siblings, as no other tool handles API key issuance. The scope ('current tenant') and key type add precision.

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?

Provides concrete use cases: 'pasting into /add-database or configuring a separate integration.' It implies when to use but does not explicitly exclude alternatives or state when not to use, though no sibling tool directly competes. The rate limit is also mentioned as a constraint.

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

A3.9/5.0
Disambiguation4/5

Each tool targets a distinct resource/action, though some overlap exists between analyze_table and data_profile (both profile tables) and between pii_scan and configure_allowlist (both deal with PII). Clear descriptions and separation of quick vs. full analysis mitigate confusion.

Naming Consistency3/5

Most tools follow verb_noun (add_connection, describe_schema, generate_migration), but a notable minority use noun phrases (data_profile, pii_scan, query_firewall, saved_queries, quota, impact_analysis). This mixed convention creates inconsistency, though the naming is still readable.

Tool Count3/5

26 tools is slightly over the 16-25 heavy threshold, but each tool addresses a distinct need across connection management, querying, analysis, security, and performance. While the count feels high, the breadth justifies it; however, it's approaching the 'too many' range.

Completeness5/5

The tool set covers the full lifecycle: connections (add/remove/list/test), querying (query_sql, saved_queries, cross_db_query), schema exploration/migration (describe_schema, generate_migration, impact_analysis), data quality/compliance (analyze_table, data_profile, pii_scan), performance (explain_query, optimize_query, show_locks), and monitoring (watch_table, detect_anomalies). Any gaps are minor, such as no update_connection, but that's not a core need.

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