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DeltaSignal ATLAS-7

DeltaSignal top stressed Natural Language brief

deltasignal_top_stressed_natural
Read-onlyIdempotent

Use this premium read-only Natural Language tool when the user wants the Top Stressed screen explained in human-readable Markdown. It renders compact ATLAS-7 Top Stressed evidence into an audit-grade brief while preserving returned ranks, stress values, quality flags, nulls, source dates, and caveats. Parameters: limit is 1-100, offset paginates, and style is professional, concise, trader, or detailed. Style changes tone and density only, not facts. Behavior: read-only and idempotent; it performs one HTTPS read against the Natural Language route, has no destructive side effects, and never executes trades, wallets, settlements, or writes. Use raw deltasignal_top_stressed for cheap structured JSON and this tool for premium human-facing summaries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum issuers to include in the brief. Use 5-10 for concise human summaries.
styleNoRendering style. Style changes tone and density only, not facts.
offsetNoPagination offset for continuing a previous ranked screen.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesNatural Language Top Stressed response.
provenanceYesTraceability information for the MCP tool response.
mcp_summaryYesConcise high-signal summary of the tool response. Maximum 140 characters.
usage_metadataNoPerformance and estimated cost metadata for this MCP tool call.
suggested_follow_upsYesConcrete next MCP calls an agent can run to continue the workflow.

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the annotations (readOnly, idempotent, non-destructive), the description discloses specific behavioral traits: it performs one HTTPS read, has no destructive side effects, and never executes trades, wallets, settlements, or writes. It also details what is preserved (ranks, stress values, quality flags, nulls, dates, caveats). This significantly exceeds the annotation signal and provides actionable context.

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 description is longer than the minimal example but every sentence earns its place, covering purpose, parameters, behavior, and alternative in a structured way. It is front-loaded with the main use case and avoids fluff. Slightly verbose but not wasteful for a tool with multiple relevant facets.

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?

Given the tool has an output schema and rich annotations, the description covers all necessary decision points: when to use it, what it does, parameter constraints, and behavioral guarantees. It also mentions the sibling tool for structured JSON, completing the selection context. No significant gaps.

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?

Schema description coverage is 100% and each parameter already has meaningful descriptions (e.g., limit recommends 5-10 for concise summaries, style explains tone/density, offset paginates). The description merely restates this information (limit 1-100, offset paginates, style options) without adding new semantic value. Thus a baseline score of 3 is appropriate.

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 renders the Top Stressed screen into human-readable Markdown, with a specific verb ('explained', 'renders') and resource ('Top Stressed screen'). It explicitly distinguishes from the sibling deltasignal_top_stressed by noting the raw tool provides cheap structured JSON while this one gives premium human-facing summaries.

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?

The description gives explicit guidance on when to use this tool ('when the user wants the Top Stressed screen explained in human-readable Markdown') and names the alternative ('Use raw deltasignal_top_stressed for cheap structured JSON'). It also clarifies that style only changes tone and density, not facts, helping the agent choose the right style.

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

C2.8/5.0
Disambiguation2/5

The tool set has extensive overlap: natural-language variants duplicate raw JSON tools (e.g., deltasignal_covenant_stress vs deltasignal_covenant_stress_natural), composite workflow tools duplicate low-level screens (deltasignal_alpha_sweep vs deltasignal_alpha_opportunities), and the atlas7_* and deltasignal_* prefixes repeat the same concepts (e.g., atlas7_covenant_stress vs deltasignal_covenant_stress). An agent would likely struggle to pick the right tool for a given intent.

Naming Consistency2/5

Three distinct prefixes (atlas7_, deltasignal_, strategix_) are used, and duplicate tool names appear across prefixes (e.g., atlas7_readiness vs deltasignal_readiness). Verb patterns are inconsistent, mixing nouns and verbs (atlas7_archive_search, deltasignal_thesis_create, deltasignal_morning_brief_natural), and there is no clear rule for raw, natural, composite, or resolver variants.

Tool Count1/5

With 81 tools, the server is massively over-scoped. Many are near-duplicates or overlapping composites; the core domain likely needs 20-30 tools at most. The count is far beyond what an agent can reasonably navigate, and it indicates a failure to consolidate or version the surface.

Completeness3/5

The set covers a broad range of functionality: screening, stress, alpha, peer comparison, history, tripcode resolution, synthetic ETF state, and thesis monitoring. However, there are lifecycle gaps (e.g., thesis_create has no corresponding update/delete, and the atlas7 vs deltasignal split leaves no unified surface). The duplication suggests comprehensive coverage in some areas and awkward holes in others.