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ThinkNEO Control Plane

thinkneo_registry_publish

Publish an MCP server to the ThinkNEO Marketplace. Validates the endpoint by calling initialize and tools/list, runs automated security scan for secrets and injection patterns, computes a security score (0-100), and stores the entry with version history. Validates the endpoint (calls initialize + tools/list), runs security scan (secrets detection, injection patterns), and stores the entry. Authentication required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPackage name (lowercase, hyphens allowed, e.g. 'my-mcp-server')
tagsNoTags for discoverability (e.g. ['ai', 'governance', 'security'])
readmeNoFull readme/documentation in markdown
licenseNoLicense (e.g. MIT, Apache-2.0)MIT
repo_urlNoSource code repository URL
transportNoTransport type: streamable-http, sse, or stdiostreamable-http
categoriesNoCategories: governance, security, data, development, productivity, communication, analytics, devops, finance, marketing, other
descriptionYesShort description of what this MCP server does (max 500 chars)
display_nameYesHuman-readable display name
endpoint_urlYesMCP server endpoint URL (e.g. https://my-server.com/mcp)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A3.9/5.0
Behavior4/5

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

The description goes beyond the annotations by detailing the exact behavior: calling initialize and tools/list, running a security scan for secrets and injection patterns, computing a 0-100 score, and storing the entry with version history. It also notes that authentication is required. This adds useful context about side effects and validation steps. However, 'Authentication required' is somewhat vague about the mechanism, and the description is slightly redundant due to repeated phrasing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is redundant: it repeats nearly the same sentence twice ('Validates the endpoint by calling initialize and tools/list, runs automated security scan...' and 'Validates the endpoint (calls initialize + tools/list), runs security scan...'). The first sentence is sufficiently detailed, and the second sentence adds no new information. This violates conciseness, and the structure is not tight.

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's complexity (10 parameters, mutation, validation, security scanning, version history), the description covers the essential process: validation calls, security scan, score, storage, and authentication. An output schema exists, so return values need not be described. Minimal gaps: it doesn't clarify whether this creates a new entry or updates an existing one, and it lacks specifics about authentication requirements.

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?

All 10 parameters have schema descriptions with 100% coverage, so the schema already provides full parameter semantics. The description does not add any parameter-specific guidance beyond what the schema states. Baseline 3 is appropriate since the schema handles the burden effectively.

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 clear, specific statement: 'Publish an MCP server to the ThinkNEO Marketplace.' This uses a strong verb ('publish') and a concrete resource, making the tool's purpose immediately obvious. It distinguishes itself from sibling registry tools (get, search, install, review) by focusing on the publication action.

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?

The description clearly establishes the tool's context: it is for publishing a server to the ThinkNEO Marketplace, including validation and security scanning. However, it does not explicitly state when not to use it or mention alternative sibling tools (e.g., 'for installing an existing server, use thinkneo_registry_install'), so the guidance is clear but lacks explicit exclusions.

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

C2.9/5.0
Disambiguation2/5

Many tools have overlapping purposes, such as the multiple safety-check tools (thinkneo_check, thinkneo_detect_injection, thinkneo_evaluate_guardrail) and the many cost/reporting tools (thinkneo_agent_roi, thinkneo_decision_cost, thinkneo_business_impact). An agent would struggle to reliably pick the correct tool for a given intent. The boundaries between dashboard, audit, and reporting tools are particularly fuzzy.

Naming Consistency2/5

All tools share the thinkneo_ prefix, but the remaining naming is inconsistent: some follow verb_noun (check_spend, list_alerts), some use noun_verb (compliance_generate, alert_rule_create), and others are bare nouns (business_impact, cache_status). This mix makes it hard to predict tool names based on action and object.

Tool Count1/5

With 68 tools, this is an extremely large surface area, far beyond the typical 3-15 well-scoped set and even beyond the 25+ heavy threshold. Even for a comprehensive enterprise platform, the sheer number overwhelms an agent's ability to choose effectively. It feels like a kitchen-sink approach rather than a curated toolkit.

Completeness3/5

The toolset covers a wide range of governance, observability, and cost-management features, but there are notable lifecycle gaps: SLAs can be defined but not updated or deleted, alert rules lack an update operation, and registry entries have no remove/unpublish. Also, policy management is limited to checking, with no create/update tool. The memory tools feel out of place and lack a delete operation.